YOU ARE MY RESUME CREATOR AND EXPERT INDUSTRY RECRUITER. THESE IS WRITTEN ON JOB PAGE Job Specification 
 
We are seeking a skilled and detail-oriented Data Analyst to join our team. As a Data Analyst, you will play a vital role in collecting, analysing, and interpreting complex data sets to provide actionable insights and support data-driven decision-making across the organization. You will collaborate closely with various stakeholders to identify business needs, design data models, perform statistical analysis, and present findings in a clear and concise manner. The ideal candidate has a strong analytical mindset, advanced data manipulation skills, and a passion for extracting valuable information from raw data. 
 
Responsibilities: 
Collect, clean, and transform large data sets from multiple sources into usable formats for analysis.
Develop and maintain efficient data models, databases, and reporting systems.
Identify, analyse, and interpret trends or patterns in complex data sets to support strategic business decisions.
Conduct statistical analysis and generate meaningful reports and visualizations to communicate findings effectively.
Collaborate with cross-functional teams to define key performance indicators (KPIs) and develop metrics for measuring business performance.
Identify data quality issues, troubleshoot problems, and implement solutions to ensure data accuracy and integrity.
Monitor and evaluate data collection processes to optimize efficiency and effectiveness.
Stay updated with industry trends, emerging technologies, and best practices in data analysis and visualization.
Present findings, insights, and recommendations to stakeholders in a clear and concise manner, both verbally and in written reports.
 
Requirements: 
 
Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, or a related field. A master's degree is a plus.
Proven work experience as a Data Analyst or in a similar role, with a focus on data manipulation, analysis, and visualization.
Proficiency in SQL and advanced data manipulation techniques.
Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
Experience with data visualization tools such as Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn) to create impactful reports and dashboards.
Knowledge of statistical analysis methods and tools (e.g., regression analysis, hypothesis testing, clustering).
Familiarity with data warehousing concepts and ETL processes.
Proficiency and experience using Cloud Technologies including AWS, Azure
Experience using Snowflake.
Proficiency in programming languages such as Python or R for data analysis and manipulation.
Excellent communication skills with the ability to present technical information to non-technical stakeholders.
Attention to detail and a commitment to data accuracy and integrity.
Ability to work independently and collaborate effectively in a team-oriented environment.
 PROFESSIONAL SUMMARY ________________________________________
As a dedicated M.Tech student specializing in Machine Learning, I am passionate about
leveraging cutting-edge technologies to solve complex problems. With a strong foundation in
machine learning algorithms, data analysis, and programming, I am well-equipped to contribute to a wide range of roles in the tech industry. I am open to exploring diverse opportunities that align with my skills and interests, with a commitment to continuous learning and growth.

SKILLS________________________________________
Machine Learning | Deep Learning | DBMS | Blockchain | Data Warehousing | C | C++ | Java | Python | R |  SQL | PostgreSql | NoSQL | Recommendation System | Natural Language Processing | Data Mining| Statistics | Algorithms | Calculus | Data Structures | OOP Concepts | TensorFlow | PyTorch | scikit-learn | Matplotlib | Computer Vision | LLM and GenAI models | AWS Services | Data Bricks | Apache Spark | Snowflake | SAP ABAP

WORK EXPERIENCE________________________________________
Assistant System Engineer	 July 2021 – July 2022 
Tata Consultancy Services | Gandhinagar, Gujarat
● Proficiently handled various ABAP-related responsibilities, including the development of reports and smartforms, SAP enhancements, Menu Painter tasks, Dialog Programming, and the creation of Data Dictionary objects like tables and data elements.


EDUCATION________________________________________
Master of Technology (M.Tech) – ICT 	Aug 2022 - June 2024
Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar
CPI - 8.77

Bachelor of Engineering (B.E.) - Computer Engineering	Aug 2017 - June 2021
Government Engineering College, Gandhinagar, Gandhinagar
CPI - 9.55

H.S.C GSHSEB Science	April 2016 - June 2017
Time school, Rajkot
Percentage - 83.38


PROJECTS________________________________________
Real Estate Data Pipeline:
●	Developed a real estate data pipeline using Python to extract data from Zillow in JSON format, transferring it to Amazon S3 for storage. 
●	Implemented Lambda functions for data transfer between S3 buckets and for JSON to CSV conversion.
●	Transferred CSV data to Amazon Redshift for storage and analysis, leveraging Amazon QuickSight for visualization.
●	Collaborated on design and execution, gaining practical experience in data extraction, transformation, and analysis technologies.

Financial Crisis Detection with Machine Learning and Textual Analysis:
●	This project focuses on predicting financial distress using sentiment analysis on news data with machine learning models including Logistic Regression, Support Vector Machine, Random Forest, XGBoost, and Recurrent Neural Network. 
●	Random Forest model achieved an accuracy of 77%, outperforming others in various metrics. 
●	Models demonstrated alignment with real-world sentiment trends across four quarters, indicating effective capture and interpretation of news sentiment nuances. 
●	Additionally, the use of Recurrent Neural Networks facilitated dynamic time series forecasting and early detection of impactful events, enhancing the project's overall effectiveness.

 Text Simplification 
●	Text Simplification (TS) involves making text easier to understand while preserving its original meaning. It's crucial for improving various NLP tasks like parsing, information extraction, question generation, and text summarization. 
●	Employed the T5 Base model, a Transformer-based sequence-to-sequence model, fine-tuned for Text Simplification. 
●	Utilized the ASSET Dataset and achieved a BLEU score of 0.8.

Fake News Classification:
●	The primary objective was to create a robust model for the classification of fake news and misinformation in both English and German language news articles. 
●	Employed a multi-model approach utilizing BERT with LSTM and bag of words feature for feature extraction. Also applied GPT2 and RoBERTa for English news classification, while mBERT was used for German news classification. 

Movie Recommendation System:
●	Created a basic movie recommendation web-app using Django framework, leveraging the IMDb Dataset for movie and user information.
●	Recommendations are provided based on Item-Item similarity measures calculated from user ratings for a movie and its other details. 
●	This project was developed to gain hands-on experience with Python's Django framework and basic recommendation systems.

Plasma Donation using Blockchain:
●	Designed and developed a decentralized application (DApp) that serves as a transparent supply chain for plasma donations. 
●	Built using Ethereum smart contracts, React for the frontend, and Firebase for real-time data management. 
●	This project showcases my expertise in blockchain technology, web development, and data management in a healthcare context.

THESE IS MY RESUME. CHANGE SKILLS AND PROFESSIONAL SUMMARY ACCORDINGLY. ALSO TAILOR MY RESUME IN SUCH A WAY THAT IT GETS SHORTLISTED FOR INTERVIEW