{ "cells": [ { "cell_type": "markdown", "id": "0dbd4679", "metadata": {}, "source": [ "#### Importing Libraries" ] }, { "cell_type": "code", "execution_count": 79, "id": "3e6ff66f", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns" ] }, { "cell_type": "markdown", "id": "3d0d612b", "metadata": {}, "source": [ "#### Load and view data" ] }, { "cell_type": "code", "execution_count": 80, "id": "86ea8883", "metadata": {}, "outputs": [], "source": [ "df = pd.read_csv('resume.csv')" ] }, { "cell_type": "code", "execution_count": 81, "id": "8e8be340", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CategoryResume
0Data ScienceSkills * Programming Languages: Python (pandas...
1Data ScienceEducation Details \\r\\nMay 2013 to May 2017 B.E...
2Data ScienceAreas of Interest Deep Learning, Control Syste...
3Data ScienceSkills • R • Python • SAP HANA • Table...
4Data ScienceEducation Details \\r\\n MCA YMCAUST, Faridab...
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" ], "text/plain": [ " Category Resume\n", "0 Data Science Skills * Programming Languages: Python (pandas...\n", "1 Data Science Education Details \\r\\nMay 2013 to May 2017 B.E...\n", "2 Data Science Areas of Interest Deep Learning, Control Syste...\n", "3 Data Science Skills • R • Python • SAP HANA • Table...\n", "4 Data Science Education Details \\r\\n MCA YMCAUST, Faridab..." ] }, "execution_count": 81, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "code", "execution_count": 82, "id": "5a65c823", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 962 entries, 0 to 961\n", "Data columns (total 2 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Category 962 non-null object\n", " 1 Resume 962 non-null object\n", "dtypes: object(2)\n", "memory usage: 15.2+ KB\n" ] } ], "source": [ "df.info()" ] }, { "cell_type": "markdown", "id": "f632bf53", "metadata": {}, "source": [ "#### Exploring Categories" ] }, { "cell_type": "code", "execution_count": 83, "id": "921656d5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Java Developer 84\n", "Testing 70\n", "DevOps Engineer 55\n", "Python Developer 48\n", "Web Designing 45\n", "HR 44\n", "Hadoop 42\n", "Blockchain 40\n", "ETL Developer 40\n", "Operations Manager 40\n", "Data Science 40\n", "Sales 40\n", "Mechanical Engineer 40\n", "Arts 36\n", "Database 33\n", "Electrical Engineering 30\n", "Health and fitness 30\n", "PMO 30\n", "Business Analyst 28\n", "DotNet Developer 28\n", "Automation Testing 26\n", "Network Security Engineer 25\n", "SAP Developer 24\n", "Civil Engineer 24\n", "Advocate 20\n", "Name: Category, dtype: int64" ] }, "execution_count": 83, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['Category'].value_counts()" ] }, { "cell_type": "code", "execution_count": 84, "id": "df9e1b3e", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n", " warnings.warn(\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(15,5))\n", "sns.countplot(df['Category'])\n", "plt.xticks(rotation=90)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 85, "id": "c5cd954b", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "counts = df['Category'].value_counts()\n", "labels = df['Category'].unique()\n", "\n", "plt.figure(figsize=(15,10))\n", "plt.pie(counts,labels=labels,autopct='%1.1f%%',shadow=True, colors=plt.cm.plasma(np.linspace(0,1,3)))\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "8cea5395", "metadata": {}, "source": [ "#### Exploring Resume" ] }, { "cell_type": "code", "execution_count": 86, "id": "36e026e9", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'Data Science'" ] }, "execution_count": 86, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['Category'][0]" ] }, { "cell_type": "code", "execution_count": 87, "id": "27e041cc", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'Skills * Programming Languages: Python (pandas, numpy, scipy, scikit-learn, matplotlib), Sql, Java, JavaScript/JQuery. * Machine learning: Regression, SVM, Naïve Bayes, KNN, Random Forest, Decision Trees, Boosting techniques, Cluster Analysis, Word Embedding, Sentiment Analysis, Natural Language processing, Dimensionality reduction, Topic Modelling (LDA, NMF), PCA & Neural Nets. * Database Visualizations: Mysql, SqlServer, Cassandra, Hbase, ElasticSearch D3.js, DC.js, Plotly, kibana, matplotlib, ggplot, Tableau. * Others: Regular Expression, HTML, CSS, Angular 6, Logstash, Kafka, Python Flask, Git, Docker, computer vision - Open CV and understanding of Deep learning.Education Details \\r\\n\\r\\nData Science Assurance Associate \\r\\n\\r\\nData Science Assurance Associate - Ernst & Young LLP\\r\\nSkill Details \\r\\nJAVASCRIPT- Exprience - 24 months\\r\\njQuery- Exprience - 24 months\\r\\nPython- Exprience - 24 monthsCompany Details \\r\\ncompany - Ernst & Young LLP\\r\\ndescription - Fraud Investigations and Dispute Services Assurance\\r\\nTECHNOLOGY ASSISTED REVIEW\\r\\nTAR (Technology Assisted Review) assists in accelerating the review process and run analytics and generate reports.\\r\\n* Core member of a team helped in developing automated review platform tool from scratch for assisting E discovery domain, this tool implements predictive coding and topic modelling by automating reviews, resulting in reduced labor costs and time spent during the lawyers review.\\r\\n* Understand the end to end flow of the solution, doing research and development for classification models, predictive analysis and mining of the information present in text data. Worked on analyzing the outputs and precision monitoring for the entire tool.\\r\\n* TAR assists in predictive coding, topic modelling from the evidence by following EY standards. Developed the classifier models in order to identify \"red flags\" and fraud-related issues.\\r\\n\\r\\nTools & Technologies: Python, scikit-learn, tfidf, word2vec, doc2vec, cosine similarity, Naïve Bayes, LDA, NMF for topic modelling, Vader and text blob for sentiment analysis. Matplot lib, Tableau dashboard for reporting.\\r\\n\\r\\nMULTIPLE DATA SCIENCE AND ANALYTIC PROJECTS (USA CLIENTS)\\r\\nTEXT ANALYTICS - MOTOR VEHICLE CUSTOMER REVIEW DATA * Received customer feedback survey data for past one year. Performed sentiment (Positive, Negative & Neutral) and time series analysis on customer comments across all 4 categories.\\r\\n* Created heat map of terms by survey category based on frequency of words * Extracted Positive and Negative words across all the Survey categories and plotted Word cloud.\\r\\n* Created customized tableau dashboards for effective reporting and visualizations.\\r\\nCHATBOT * Developed a user friendly chatbot for one of our Products which handle simple questions about hours of operation, reservation options and so on.\\r\\n* This chat bot serves entire product related questions. Giving overview of tool via QA platform and also give recommendation responses so that user question to build chain of relevant answer.\\r\\n* This too has intelligence to build the pipeline of questions as per user requirement and asks the relevant /recommended questions.\\r\\n\\r\\nTools & Technologies: Python, Natural language processing, NLTK, spacy, topic modelling, Sentiment analysis, Word Embedding, scikit-learn, JavaScript/JQuery, SqlServer\\r\\n\\r\\nINFORMATION GOVERNANCE\\r\\nOrganizations to make informed decisions about all of the information they store. The integrated Information Governance portfolio synthesizes intelligence across unstructured data sources and facilitates action to ensure organizations are best positioned to counter information risk.\\r\\n* Scan data from multiple sources of formats and parse different file formats, extract Meta data information, push results for indexing elastic search and created customized, interactive dashboards using kibana.\\r\\n* Preforming ROT Analysis on the data which give information of data which helps identify content that is either Redundant, Outdated, or Trivial.\\r\\n* Preforming full-text search analysis on elastic search with predefined methods which can tag as (PII) personally identifiable information (social security numbers, addresses, names, etc.) which frequently targeted during cyber-attacks.\\r\\nTools & Technologies: Python, Flask, Elastic Search, Kibana\\r\\n\\r\\nFRAUD ANALYTIC PLATFORM\\r\\nFraud Analytics and investigative platform to review all red flag cases.\\r\\nâ\\x80¢ FAP is a Fraud Analytics and investigative platform with inbuilt case manager and suite of Analytics for various ERP systems.\\r\\n* It can be used by clients to interrogate their Accounting systems for identifying the anomalies which can be indicators of fraud by running advanced analytics\\r\\nTools & Technologies: HTML, JavaScript, SqlServer, JQuery, CSS, Bootstrap, Node.js, D3.js, DC.js'" ] }, "execution_count": 87, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['Resume'][0]" ] }, { "cell_type": "markdown", "id": "a8f152f0", "metadata": {}, "source": [ "#### Data Cleaning\n", "1. URLs\n", "2. Hashtags\n", "3. Mentions\n", "4. Special Letters\n", "5. Punctuations" ] }, { "cell_type": "code", "execution_count": 88, "id": "279e0eb0", "metadata": {}, "outputs": [], "source": [ "import re\n", "def cleanResume(txt):\n", " cleanText = re.sub('http\\S+\\s', ' ', txt)\n", " cleanText = re.sub('RT|cc', ' ', cleanText)\n", " cleanText = re.sub('#\\S+\\s', ' ', cleanText)\n", " cleanText = re.sub('@\\S+', ' ', cleanText) \n", " cleanText = re.sub('[%s]' % re.escape(\"\"\"!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~\"\"\"), ' ', cleanText)\n", " cleanText = re.sub(r'[^\\x00-\\x7f]', ' ', cleanText) \n", " cleanText = re.sub('\\s+', ' ', cleanText)\n", " return cleanText" ] }, { "cell_type": "code", "execution_count": 89, "id": "62f7fecf", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'my webiste like is this and a ess it '" ] }, "execution_count": 89, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cleanResume(\"my #### $ # #aman webiste like is this http://heloword and access it @gmain.com\")" ] }, { "cell_type": "code", "execution_count": 90, "id": "84704da2", "metadata": {}, "outputs": [], "source": [ "df['Resume'] = df['Resume'].apply(lambda x: cleanResume(x))" ] }, { "cell_type": "code", "execution_count": 91, "id": "fa4bfbe2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'Skills Programming Languages Python pandas numpy scipy scikit learn matplotlib Sql Java JavaScript JQuery Machine learning Regression SVM Na ve Bayes KNN Random Forest Decision Trees Boosting techniques Cluster Analysis Word Embedding Sentiment Analysis Natural Language processing Dimensionality reduction Topic Modelling LDA NMF PCA Neural Nets Database Visualizations Mysql SqlServer Cassandra Hbase ElasticSearch D3 js DC js Plotly kibana matplotlib ggplot Tableau Others Regular Expression HTML CSS Angular 6 Logstash Kafka Python Flask Git Docker computer vision Open CV and understanding of Deep learning Education Details Data Science Assurance Associate Data Science Assurance Associate Ernst Young LLP Skill Details JAVASCRIPT Exprience 24 months jQuery Exprience 24 months Python Exprience 24 monthsCompany Details company Ernst Young LLP description Fraud Investigations and Dispute Services Assurance TECHNOLOGY ASSISTED REVIEW TAR Technology Assisted Review assists in a elerating the review process and run analytics and generate reports Core member of a team helped in developing automated review platform tool from scratch for assisting E discovery domain this tool implements predictive coding and topic modelling by automating reviews resulting in reduced labor costs and time spent during the lawyers review Understand the end to end flow of the solution doing research and development for classification models predictive analysis and mining of the information present in text data Worked on analyzing the outputs and precision monitoring for the entire tool TAR assists in predictive coding topic modelling from the evidence by following EY standards Developed the classifier models in order to identify red flags and fraud related issues Tools Technologies Python scikit learn tfidf word2vec doc2vec cosine similarity Na ve Bayes LDA NMF for topic modelling Vader and text blob for sentiment analysis Matplot lib Tableau dashboard for reporting MULTIPLE DATA SCIENCE AND ANALYTIC PROJECTS USA CLIENTS TEXT ANALYTICS MOTOR VEHICLE CUSTOMER REVIEW DATA Received customer feedback survey data for past one year Performed sentiment Positive Negative Neutral and time series analysis on customer comments across all 4 categories Created heat map of terms by survey category based on frequency of words Extracted Positive and Negative words across all the Survey categories and plotted Word cloud Created customized tableau dashboards for effective reporting and visualizations CHATBOT Developed a user friendly chatbot for one of our Products which handle simple questions about hours of operation reservation options and so on This chat bot serves entire product related questions Giving overview of tool via QA platform and also give recommendation responses so that user question to build chain of relevant answer This too has intelligence to build the pipeline of questions as per user requirement and asks the relevant recommended questions Tools Technologies Python Natural language processing NLTK spacy topic modelling Sentiment analysis Word Embedding scikit learn JavaScript JQuery SqlServer INFORMATION GOVERNANCE Organizations to make informed decisions about all of the information they store The integrated Information Governance portfolio synthesizes intelligence across unstructured data sources and facilitates action to ensure organizations are best positioned to counter information risk Scan data from multiple sources of formats and parse different file formats extract Meta data information push results for indexing elastic search and created customized interactive dashboards using kibana Preforming ROT Analysis on the data which give information of data which helps identify content that is either Redundant Outdated or Trivial Preforming full text search analysis on elastic search with predefined methods which can tag as PII personally identifiable information social security numbers addresses names etc which frequently targeted during cyber attacks Tools Technologies Python Flask Elastic Search Kibana FRAUD ANALYTIC PLATFORM Fraud Analytics and investigative platform to review all red flag cases FAP is a Fraud Analytics and investigative platform with inbuilt case manager and suite of Analytics for various ERP systems It can be used by clients to interrogate their A ounting systems for identifying the anomalies which can be indicators of fraud by running advanced analytics Tools Technologies HTML JavaScript SqlServer JQuery CSS Bootstrap Node js D3 js DC js'" ] }, "execution_count": 91, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['Resume'][0]" ] }, { "cell_type": "markdown", "id": "b83d3a6f", "metadata": {}, "source": [ "#### Converts words into categorical values" ] }, { "cell_type": "code", "execution_count": 92, "id": "bc7c906d", "metadata": {}, "outputs": [], "source": [ "from sklearn.preprocessing import LabelEncoder\n", "le = LabelEncoder()" ] }, { "cell_type": "code", "execution_count": 93, "id": "24807ab3", "metadata": {}, "outputs": [], "source": [ "le.fit(df['Category'])\n", "df['Category'] = le.transform(df['Category'])" ] }, { "cell_type": "code", "execution_count": 94, "id": "45b7af7f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([ 6, 12, 0, 1, 24, 16, 22, 14, 5, 15, 4, 21, 2, 11, 18, 20, 8,\n", " 17, 19, 7, 13, 10, 9, 3, 23])" ] }, "execution_count": 94, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.Category.unique()" ] }, { "cell_type": "code", "execution_count": 95, "id": "dddbf18e", "metadata": {}, "outputs": [], "source": [ "# ['Data Science', 'HR', 'Advocate', 'Arts', 'Web Designing',\n", "# 'Mechanical Engineer', 'Sales', 'Health and fitness',\n", "# 'Civil Engineer', 'Java Developer', 'Business Analyst',\n", "# 'SAP Developer', 'Automation Testing', 'Electrical Engineering',\n", "# 'Operations Manager', 'Python Developer', 'DevOps Engineer',\n", "# 'Network Security Engineer', 'PMO', 'Database', 'Hadoop',\n", "# 'ETL Developer', 'DotNet Developer', 'Blockchain', 'Testing'],\n", "# dtype=object)" ] }, { "cell_type": "markdown", "id": "08515b64", "metadata": {}, "source": [ "#### Vactorization" ] }, { "cell_type": "code", "execution_count": 96, "id": "4af9dcb8", "metadata": {}, "outputs": [], "source": [ "from sklearn.feature_extraction.text import TfidfVectorizer\n", "tfidf = TfidfVectorizer(stop_words='english')\n", "\n", "tfidf.fit(df['Resume'])\n", "requredTxt = tfidf.transform(df['Resume'])" ] }, { "cell_type": "code", "execution_count": 97, "id": "42a69e0d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "<962x7351 sparse matrix of type ''\n", "\twith 164261 stored elements in Compressed Sparse Row format>" ] }, "execution_count": 97, "metadata": {}, "output_type": "execute_result" } ], "source": [ "requredTxt" ] }, { "cell_type": "markdown", "id": "5d8e13cc", "metadata": {}, "source": [ "#### Train Test Split" ] }, { "cell_type": "code", "execution_count": 98, "id": "19d70e5e", "metadata": {}, "outputs": [], "source": [ "from sklearn.model_selection import train_test_split" ] }, { "cell_type": "code", "execution_count": 99, "id": "9ed4dc49", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(769, 7351)" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "(193, 7351)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "X_train, X_test, y_train, y_test = train_test_split(requredTxt, df['Category'], test_size=0.2, random_state=42)\n", "\n", "display(X_train.shape)\n", "display(X_test.shape)" ] }, { "cell_type": "markdown", "id": "de71dd08", "metadata": {}, "source": [ "#### Model Training and Classification report:" ] }, { "cell_type": "code", "execution_count": 100, "id": "b9ce039d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.9844559585492227\n" ] } ], "source": [ "from sklearn.neighbors import KNeighborsClassifier\n", "from sklearn.multiclass import OneVsRestClassifier\n", "from sklearn.metrics import accuracy_score\n", "\n", "clf = OneVsRestClassifier(KNeighborsClassifier())\n", "clf.fit(X_train,y_train)\n", "ypred = clf.predict(X_test)\n", "print(accuracy_score(y_test,ypred))" ] }, { "cell_type": "code", "execution_count": 101, "id": "b1016978", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([15, 15, 15, 13, 14, 17, 16, 2, 0, 14, 13, 12, 16, 23, 20, 5, 6,\n", " 4, 10, 9, 19, 1, 10, 23, 23, 21, 22, 22, 2, 12, 18, 1, 8, 24,\n", " 11, 23, 7, 12, 24, 8, 18, 6, 8, 19, 24, 23, 21, 1, 15, 4, 15,\n", " 22, 11, 5, 15, 13, 1, 19, 5, 12, 22, 22, 20, 24, 21, 18, 12, 10,\n", " 10, 20, 10, 8, 9, 21, 17, 21, 0, 17, 16, 14, 15, 11, 11, 8, 20,\n", " 3, 19, 8, 0, 2, 9, 10, 2, 23, 20, 20, 23, 12, 18, 12, 7, 16,\n", " 8, 14, 18, 3, 14, 19, 14, 14, 15, 18, 8, 2, 21, 18, 23, 10, 23,\n", " 5, 11, 15, 12, 3, 5, 3, 7, 12, 19, 8, 20, 19, 3, 15, 9, 19,\n", " 1, 23, 21, 5, 20, 15, 16, 7, 7, 8, 15, 18, 1, 15, 13, 20, 7,\n", " 4, 18, 11, 5, 15, 5, 12, 9, 22, 18, 21, 8, 23, 4, 12, 24, 16,\n", " 15, 22, 8, 22, 3, 16, 23, 23, 12, 7, 16, 18, 5, 3, 18, 8, 23,\n", " 23, 20, 21, 6, 7, 23])" ] }, "execution_count": 101, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ypred" ] }, { "cell_type": "markdown", "id": "cb7d644d", "metadata": {}, "source": [ "#### Prediction System" ] }, { "cell_type": "code", "execution_count": 102, "id": "67645a10", "metadata": {}, "outputs": [], "source": [ "import pickle\n", "pickle.dump(requredTxt,open('requredTxt.pkl','wb'))\n", "pickle.dump(tfidf,open('tfidf.pkl','wb'))\n", "pickle.dump(clf, open('clf.pkl', 'wb'))" ] }, { "cell_type": "code", "execution_count": 103, "id": "df7aad7d", "metadata": {}, "outputs": [], "source": [ "myresume = \"\"\"I am a data scientist specializing in machine\n", "learning, deep learning, and computer vision. With\n", "a strong background in mathematics, statistics,\n", "and programming, I am passionate about\n", "uncovering hidden patterns and insights in data.\n", "I have extensive experience in developing\n", "predictive models, implementing deep learning\n", "algorithms, and designing computer vision\n", "systems. My technical skills include proficiency in\n", "Python, Sklearn, TensorFlow, and PyTorch.\n", "What sets me apart is my ability to effectively\n", "communicate complex concepts to diverse\n", "audiences. I excel in translating technical insights\n", "into actionable recommendations that drive\n", "informed decision-making.\n", "If you're looking for a dedicated and versatile data\n", "scientist to collaborate on impactful projects, I am\n", "eager to contribute my expertise. Let's harness the\n", "power of data together to unlock new possibilities\n", "and shape a better future.\n", "Contact & Sources\n", "Email: abcdefg@gmail.com\n", "Phone: 0123456789\n", "Github: https://github.com/abcdefg\n", "Linkdin: https://www.linkedin.com/in/abcdefg/\n", "Blogs: https://medium.com/@abcdefg\n", "ABOUT ME\n", "WORK EXPERIENCE\n", "SKILLES\n", "LANGUAGES\n", "English\n", "French\n", "Spanish\n", "Hindi\n", "I am a versatile data scientist with expertise in a wide\n", "range of projects, including machine learning,\n", "recommendation systems, deep learning, and computer\n", "vision. Throughout my career, I have successfully\n", "developed and deployed various machine learning models\n", "to solve complex problems and drive data-driven\n", "decision-making\n", "Machine Learnine\n", "Natural Language Processing\n", "Deep Learning\n", "Computer Vision\n", "Recommendation Systems\n", "Data Visualization\n", "Programming Languages (Python, SQL)\n", "Data Preprocessing and Feature Engineering\n", "Model Evaluation and Deployment\n", "Statistical Analysis\n", "Communication and Collaboration\n", "\"\"\"" ] }, { "cell_type": "code", "execution_count": 104, "id": "27f2060a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Predicted Category: Data Science\n", "6\n" ] } ], "source": [ "import pickle\n", "\n", "# Load the trained classifier\n", "clf = pickle.load(open('clf.pkl', 'rb'))\n", "\n", "# Clean the input resume\n", "cleaned_resume = cleanResume(myresume)\n", "\n", "# Transform the cleaned resume using the trained TfidfVectorizer\n", "input_features = tfidf.transform([cleaned_resume])\n", "\n", "# Make the prediction using the loaded classifier\n", "prediction_id = clf.predict(input_features)[0]\n", "\n", "# Map category ID to category name\n", "category_mapping = {\n", " 15: \"Java Developer\",\n", " 23: \"Testing\",\n", " 8: \"DevOps Engineer\",\n", " 20: \"Python Developer\",\n", " 24: \"Web Designing\",\n", " 12: \"HR\",\n", " 13: \"Hadoop\",\n", " 3: \"Blockchain\",\n", " 10: \"ETL Developer\",\n", " 18: \"Operations Manager\",\n", " 6: \"Data Science\",\n", " 22: \"Sales\",\n", " 16: \"Mechanical Engineer\",\n", " 1: \"Arts\",\n", " 7: \"Database\",\n", " 11: \"Electrical Engineering\",\n", " 14: \"Health and fitness\",\n", " 19: \"PMO\",\n", " 4: \"Business Analyst\",\n", " 9: \"DotNet Developer\",\n", " 2: \"Automation Testing\",\n", " 17: \"Network Security Engineer\",\n", " 21: \"SAP Developer\",\n", " 5: \"Civil Engineer\",\n", " 0: \"Advocate\",\n", "}\n", "\n", "category_name = category_mapping.get(prediction_id, \"Unknown\")\n", "\n", "print(\"Predicted Category:\", category_name)\n", "print(prediction_id)" ] }, { "cell_type": "code", "execution_count": null, "id": "97102321", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "5a07d917", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.13" } }, "nbformat": 4, "nbformat_minor": 5 }