aakriti garg
Data Modeling Analyst at MRP
transforming business data science . design develop innovative way improve data quality model .
experienced analytics software development seeking full time opportunity data analyst/ data engineer/business analyst related role fast-paced data driven environment apply skill efficiently achieve project goal grow professional field data science . posse excellent communication interpersonal skill . worked active member various team worked organizer international technical fest bachelor ’ . also worked one organizer first independent tedx workshop cognizant technology solution , chennai , india .
MRP
https://www.linkedin.com/company/mrpfd
Data Modeling Analyst
•	Responsible for designing and maintaining automated processes and routines to evaluate, monitor and improve various aspects of overall data quality and depth
•	Designing advance data models to evaluate data integrity, validation, and detection of anomalies those are then highlighted for additional examination and correction as required
•	Developing web data-extraction processes using Python to source external data from identified sources; extract, transform, and load data for data enrichment process resulting in growth of data and improving various aspects of data quality including but not limited to completeness, accuracy, validity, and timeliness
•	Working with Data Manager and other stakeholders to identify gaps in CRM database quality and breadth, and continuously work to improve the overall quality of the CRM data
•	Designing visualization dashboard used to effectively present the analysis of appropriate data to communicate with the stakeholder facilitating understanding of KPIs and business roadmap for data architecture and quality
•	Built SQL queries advanced analytical functions to perform data extraction and merging from large volumes of CRM and business call log data
•	Designed and implemented SQL processes to automate and streamline the process of data validation
•	Actively involved in the vendor validation to examine the accuracy and efficiency of external vendors to cleanse, standardize, normalize, and de-duplicate the data for importation into the CRM application
•	Designed automated ETL processes for structure and unstructured data from multiple on-prem source and external source systems enabling marketing CRM analytics, data science and BI capabilities across MRP products and line of businesses
•	Analysis of large volumes of data using company’s propriety programming language, kbd+ and q programming specialized in working with big data
Philadelphia, Pennsylvania
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George Mason University
Graduate Teaching Assistant
• Grading assignments on optimization, decision trees, Monte Carlo Simulation and answering students’ queries on these topics for an Operational Research course focusing on prescriptive and predictive analytics
Fairfax, Virginia
George Mason University - School of Business
https://www.linkedin.com/company/george-mason-university-school-of-business
Research Assistant
• Identified, analyzed, and interpreted trends in complex data sets offered by Fannie Mae and Freddie Mac to the performance files for each loan for 15 years.
• Developed and implemented data collection systems and other strategies to optimize statistical efficiency and data quality.
• Performed data cleaning and transformation from different sources to utilize data for analytics.
• Performed data sampling, data imputation, pruning, built statistical models in R, test model and compare models by evaluating metrics and identified abnormities in data impacting the statistical inference.
Fairfax, Virginia
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Condeco Software Pvt. Ltd.
Business Data Analyst
•	Served as a Business data analyst by using Data Visualization tools like Tableau, Microsoft Power BI and R studio on large data sets to perform interactive reporting and analysis of the dashboards
•	Used R and SPSS for predictive analysis of the complex datasets for various upcoming product enhancement
•	Analyzed trends, data patterns and anomalies while working on different business intelligence and application development platform
•	Performed data quality check for bugs detected in the application, understanding legacy platform and analyzed customer requirements of systems for building future upgrades for workspace management product
Haryana, India
Cognizant Technology Solutions
https://www.linkedin.com/company/cognizant
Business Analyst
•	Performed data modeling on the employee data used for predicting the best composition of retirement plans profile for an employee
•	Used R and SAS for the employee data for the renowned credit union to perform customer profiling
•	Developed SQL queries and complex nested SQL subqueries for extensive data quality checks on outbound files and inbound files, data migration, analysis, and validation
•	Built Tableau dashboards for visualization of various retirement plans to perform exploratory analysis on various retirement plans offered to employee
•	Served as a Business Analyst responsible for gather business requirements, analyze data/workflows of an MVC web application to automate the document validation and submission of retirement plan adaption by an employee
Chennai Area, India
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Mahindra Comviva
Junior Analyst
•	Performed data quality check for data integration platform with the E recharges and the offers on the same
•	Worked closely with stakeholders to understand requirements regarding solutions, ensure data quality and perform Gap analysis
•	Developed visualization using Tableau and MS Excel to explore the sales trends for different region of Comviva’s client base
•	Created reports of E-recharge trends and offer utilization to be used by the network operators and distributors
Haryana, India
Data Modeling/Warehousing and Database Administration
Master's degree
George Mason University
https://www.linkedin.com/school/george-mason-university/
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Biomedical/Medical Engineering
Bachelor's Degree
Vellore Institute of Technology
https://www.linkedin.com/school/vellore-institute-of-technology/
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Kaggle - Ames IOWA House Pricing
The price of a house can’t be necessarily predicted by studying the number of bedrooms and bathrooms, the height of the ceiling, the age of the property or even the extensive study of the neighborhood. A house that becomes a home of a family needs to tick off all the boxes. A house buyer considers a lot more than the statistics of the property before investing his/her hard-earned money into a dream house.
This project attempts to expand the house prediction model to predict the sale price of a house in Ames, Iowa by considering various parameters the house-buyer is most likely to consider. We also performed feature engineering to identify the key predictors that infulencxe the sale price of the house in the region. We have used the Ames housing dataset that consists of 79 explanatory variables i.e., 37 quantitative and 42 qualitative variables that describe almost every possible aspect of residential homes.
Kaggle – Yelp Dataset Challenge
Web scraped data from Yelp website is used to identify and analyze trends that fetches insights on the restaurant industry in USA. This project utilizes dataset compiled by the Yelp cooperation. We have performed data exploration to identify trends like the most preferred cuisine, the US state with highest reviews, most commonly served dishes etc. We performed sentiment analysis using the NLP techniques to classify these reviews as either positive or negative. These then labeled reviews are analyzed to identify the most liked and disliked features, that aids in deciding the must-have and must-not-have features of our restaurant.
Analysis of Applicants’ Profile for the MBA Program
In face of a global slowdown in terms of placements and admissions, there has been a significant drop in recruitment of the MBA students since 2012, which in-turn lead to a decrease in institutes’ admissions turnover.
The aim of this data analysis project is to design an application that can help institutes keep the applicants to be admitted to the MBA program based on their chances of getting placed after obtaining the MBA degree. The data model was designed to have a strong Sensitivity score (students correctly predicted as placed) and few false negatives.
The project performs feature selection to design the data model for admission procedure for an A-class business school. We also performed data exploration of the dataset to identify underlying patterns and features that influenced the choice for specialization by the applicants. Lastly a prediction model was developed to shortlist the profiles of applicants for the MBA program.
Changing Trend in Murder Weapons in the USA
Developed an interactive R Shiny App to visualize and analyze the changing trend in the homicide cases throughout all states of the USA. The project helps understand the changes over years for trend like choice of weapon, gender of victim and perpetrator for the last 34 years.
https://agarg6.shinyapps.io/us_homicide_analysis/
Data Conditioning for NOVEC’s ARIMA forecast model
NOVEC is a locally based and owned electric distribution system headquartered in Manassas, Virginia. NOVEC has installed substation automation devices that uses Fiber-optic telecommunications 
technology to communicate between substations and automation the process of electric usage data collection.
The growing application of data analysis and the way the technology is helping businesses grow makes NOVEC use the collected data to not only generate bills for each customer but to perform analysis on this data to forecast the electric usage using an ARIMA time series predictive model.
NOVEC being an electrical distribution system purchases electricity from the futures market helping them utilize the dynamic nature of the market to make a purchase at the best price. And for them to make a good purchase in ever-so changing market they need the prediction model to work spot-on.
NOVEC is currently facing some issues with the performance of this prediction model. The model that works spot-on under ideal conditions, seems to be much affected by sudden or drastic weather changes.
The objective of this project is to give NOVEC a perfectly working model under normal and not-so normal weather conditions without having to change their basic operations. The client was confident about the correctness of the model and feel changing the model might affect operations and wouldn’t want that unless absolutely, necessary. 
We decided to perform data conditioning to detect any anomalies or outliers that maybe be caused by an outage due bad weather conditions and might an algorithm that brings these outliers within the acceptable range of data. The objective of the developed algorithm is to condition the data to improve the overall data quality to ensure accuracy of the predictive data model.
http://www.linkedin.com/learning/confronting-bias-thriving-across-our-differences
Confronting Bias: Thriving Across Our Differences
www.linkedin.com
LinkedIn
http://www.linkedin.com/learning/cleaning-bad-data-in-r
Cleaning Bad Data in R
www.linkedin.com
LinkedIn
http://www.linkedin.com/learning/data-wrangling-in-r
Data Wrangling in R
www.linkedin.com
LinkedIn
http://www.lynda.com/Project-Management-tutorials/Requirements-Elicitation-Analysis/580635-2.html
Requirements Elicitation and Analysis
www.lynda.com
Lynda.com
http://www.linkedin.com/learning/the-new-age-of-risk-management-strategy-for-business
The New Age of Risk Management Strategy for Business
www.linkedin.com
LinkedIn
http://www.linkedin.com/learning/learning-web-analytics-2
Learning Web Analytics
www.linkedin.com
LinkedIn
http://www.lynda.com/Project-Management-tutorials/Agile-Requirements-Foundations/580638-2.html
Agile Requirements Foundations
www.lynda.com
Lynda.com
http://www.lynda.com/Project-Management-tutorials/Business-Process-Modeling-Fundamentals/490754-2.html
Business Analysis Foundations: Business Process Modeling
www.lynda.com
Lynda.com
http://www.lynda.com/Project-Management-tutorials/Business-Analysis-Foundations-Competencies/601768-2.html
Business Analysis Foundations: Competencies
www.lynda.com
Lynda.com
http://www.lynda.com/Leadership-Management-tutorials/Interpersonal-Communication/580627-2.html
Interpersonal Communication
www.lynda.com
Lynda.com
http://www.lynda.com/Business-Skills-tutorials/Negotiation-Fundamentals/101504-2.html
Negotiation Foundations (2012)
www.lynda.com
Lynda.com
http://www.linkedin.com/learning/learning-sql-programming
Learning SQL Programming
www.linkedin.com
LinkedIn
http://www.linkedin.com/learning/r-statistics-essential-training
R Statistics Essential Training
www.linkedin.com
LinkedIn
http://www.linkedin.com/learning/sql-data-reporting-and-analysis
SQL: Data Reporting and Analysis
www.linkedin.com
LinkedIn
http://www.lynda.com/Tableau-tutorials/Tableau-Essential-Training/618727-2.html
Tableau Essential Training
www.lynda.com
Lynda.com
https://pk.linkedin.com/in/tayyab-naseem-7b087465
Tayyab Naseem
Recent George Mason graduate in Data Analytics Engineering seeking full time employment
Pakistan
https://www.linkedin.com/in/soundarya-mukkamala-806363142
Soundarya Mukkamala
Data Analyst and Developer at Bentley Systems
Atlanta Metropolitan Area
https://www.linkedin.com/in/nikhithalingutla
Nikhitha Lingutla
Machine Learning Engineer - Python | SQL | R | Neural Networks | Tableau | PowerBI
New York City Metropolitan Area
https://www.linkedin.com/in/kumar-sameer
Sameer Kumar
Data Analytics @ Honeywell
United States
https://www.linkedin.com/in/jahanvikalra
Jahanvi Kalra
Actively Seeking Full-Time Opportunities | Graduate Student at University of Maryland | RF Engineering | Wireless
Seattle, WA
https://www.linkedin.com/in/sonali-avlani
Sonali Avlani
Manager, Digital Data Strategy at Salesforce
San Francisco Bay Area
https://in.linkedin.com/in/prithvi-raj-a307b8218
Prithvi Raj
Programmer Analyst Trainee at Cognizant
Koderma district
https://www.linkedin.com/in/gina-hays-125a47155
Gina Hays
Senior Manager, ABM at MRP
Greater Philadelphia
https://www.linkedin.com/in/meghana-bontha
Meghana Bontha
Site Reliability Engineer
Austin, TX
https://in.linkedin.com/in/pavan-kaliki-3920111a9
pavan kaliki
like Coding
Hyderabad
https://www.linkedin.com/in/onkarrandive
Onkar Randive
Software Engineer at Qualcomm
San Diego, CA
https://www.linkedin.com/in/robert-donise-561540101
Robert Donise
Partner Marketing Advisor at Juniper Networks
Philadelphia, PA
https://www.linkedin.com/in/sirisha-patibandla
Sirisha Patibandla
Software Engineer at T Rowe Price
Owings Mills, MD
https://www.linkedin.com/in/sowmya-thati-3307768b
Sowmya Thati
BI/Data Analyst at Asurion
Nashville, TN
https://www.linkedin.com/in/rakeshbpatil
Rakesh Patil
Data Analyst at Agentra Healthcare Solutions
Dallas-Fort Worth Metroplex
https://www.linkedin.com/in/neha-vanjani-05616752
Neha Vanjani
Sales Operations Analyst at Linked[in]
New York City Metropolitan Area
https://www.linkedin.com/in/nickscheifler
Nick Scheifler
Director of Data & Analytics @ SupportNinja
Austin, TX
https://www.linkedin.com/in/anurag-gate
Anurag Gate
Data Analyst at Google ................................................................
Data Analytics 📈|Business Intelligence📝|Visualization📊|| Looking for full time Roles ||
Milpitas, CA
https://www.linkedin.com/in/sagarvasaikar798
Sagar Vasaikar
Actively looking for Full-Time Job opportunities Data/Business Analyst | Data Scientist | BI Analyst | Product Analyst
New York City Metropolitan Area
Paul Nicholas
      
          



            
              
        
              
  

    
        Aakriti is an intelligent, hard-working, and motivated data analyst, ready for the next challenge and to apply her analytic capabilities to solve real-world problems.  I worked with her over the course of two years, and was always impressed by her attentiveness and willingness to help others learn the field of data analytics.  She will make a valuable and energetic addition to an analytics team.  
Aakriti Garg
https://in.linkedin.com/in/aakriti-garg-06339b183
Advanced Actuarial Analyst at EY
North Delhi
Aakriti Garg
https://in.linkedin.com/in/aakriti-garg-80055b122
IIMBx | India SME Forum |B2B
Bangalore Urban
Aakriti Garg
https://in.linkedin.com/in/aakriti-garg-35463256
Software Engineer
Muzaffarnagar
Aakriti Garg
https://in.linkedin.com/in/aakriti-garg7
.
Delhi, India
Aakriti Garg
https://www.linkedin.com/in/aakriti-garg-46633aa2
#Hiring  #jobs, #hiring, #resume, #staffing, and #recruitmentBoston, Massachusetts, United States
United States
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ASP.NET,C#/VB.NET  Developer/Programmer
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Data Analytics and Engineering Group
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Tableau Fans and Friends
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