I am actively looking for job opportunities in Data science or data analysis or business analysis field starting from July 2020.
I graduated as a Master of science in data or business analytics from California state university in May 2020 with 2.5 years of technical and management experience. I am an engineer by graduation, an MBA by post-graduation, and a passionate student of life.
My work life started with development and requirement gathering for a website at Owens Corning Ltd. and then worked with RedHat, Barclays, RPG Raychem, and Titan on different data analysis projects which helped develop a line of thought and broaden awareness levels.
CERTIFICATIONS: Oracle SQL, SQL-MYSQL for data analytics & business intelligence, Tableau A-Z, Python & Power BI (A-Z for data science)
Programming Languages: Python (TensorFlow, Jupyter, Keras, NumPy, Pandas, Scikit-Learn), SQL, Hive, Pig, R, Java, C++
Tools: SQL MYSQL Server, Oracle SQL, R Studio, JMP Pro 14.2, AWS EMR, Microsoft Office, MS advanced Excel (Pivot, VLOOKUP, macros), Tableau
Data Analysis & Science: Big data, Hadoop, MapReduce, Hive, Data Visualization, Classification, Regression, decision tree, neural networks, Clustering, deep learning, statistics, forecasting, statistical analysis, data analysis, analytical skill, Data modeling, large scale data analysis
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Experience
RedHat, India- Operations analyst (Feb 2016 - March 2017)
• Business process improvement project- Analyzed & worked independently in cross-functional teams, using employee datasets & the process workflow diagrams
• Gathered and analyzed requirements from stakeholders on various analytical problems and provided recommendations for business decisions
• Improved the process turnaround time by 12% with continuous improvement and presented it to the stakeholders
• Aligned new team of 6 people & trained them on core functionality. Received 3 appreciations rewards regarding customers partnership & rapid response
Barclays Technology Centre India- Business Analyst (August 2015 - Feb 2016)
• Market Analysis - Benchmarked & presented Barclays against its 3 other business competitors using the Gartner magic quadrant & data visualization tools
• Analyzed large employee dataset to find the attrition rate of 17% using excel, v lookup, and macros by working on complete recruitment lifecycle (Taleo)
Titan, India- Data analyst intern (Sept 2014 - Oct 2014)
• Analyzed Productivity of Employees using data of Tanishq to gather insight into their HR processes especially related to Employee performance and gender • Used different analytics tools in excel such as correlation formulae, comparison formulae, etc. to drive the analysis
RPG Raychem, India- Data analyst intern (April 2014 - July 2014)
• Gap Analysis- Manpower Budgeting- Analyzed the Manpower budget for 2 financial years to find out current and future manpower needs • Researched and worked on Business excellence report for CII Award • Developed the employee and compensation dashboard of large dataset using Tableau for VP HR and business requirements documentation
Owens Corning, India- Requirement Engineer & website developer (Mar 2013 -August 2013)
• Co-ordinated for collecting information regarding website from top management & developed website according to their need • Analyzed and prepared various reports and present them to the IT Head
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Projects
Capstone Project- Amazon employee access challenge analysis - (Python, matplotlib, NumPy, Pandas) May 2020 • Built predictive model capable of learning from historical data to predict approval/denial for an unseen set of 59000 employees using logistic regression, deep learning dense neural network, Support vector machine, Stochastic gradient descent for binary classification with accuracy of 94.13%
Profit Maximization analysis – (MS Excel, Solver, Solver table)
• Maximized overall profit by 10% of a manufacturing company by using mixed-integer linear programming & decision tree optimization model
Blindness Detection - Kaggle Competition - (Python, Keras, TensorFlow, Numpy):
• Built predictive models to classify the microscopic images of the human inner eye based on the severity of blindness caused by retinopathy using trained CNN, Separable depth CNN & transfer learning models & determined the best model for classification using large dataset and myriad data sources
• Predicted the severity of disease for test images with an accuracy of 80%
Database Foundation for University using SQL – (MS SQL server):
• Created a physical SQL database of the university in MS SQL Server, loaded it fully with complex data sets & Product Roadmap by assuming business rules
• Identified the redundancies & normalized to 3NF and created an enhanced entity-relationship diagram for the database
• Dimensional Modeling Process & able to perform queries to extract the information. Presented it in front of all class and professors using Tableau & PowerPoint
Web-data Scrapping for Data Science jobs –Data Analytics - (Python, NumPy, Pandas, sklearn, Matplotlib)
• Scraped and analyzed large job dataset from REST API to get all data analyst jobs, skills, and experiences required in the Data Science field in different regions
• Employed text mining algorithms to retrieve useful information for each role & supervised machine learning to identify factors that affect the pay of jobs
Data Warehousing Project on Compass Airlines -
• Developed Data Lake & enterprise bus architecture to analyze the way to store data using dimensional & fact tables.
• Recommended and created reports on how big data and data warehouse can be integrated to solve specific business decision problems of company
Price prediction data mining - (Python) –
Analyzed and predicted the price of Airbnb and Toyota Corolla using cluster analysis, regression, k-NN & neural networks
Temperature Analysis - (Hadoop MapReduce, AWS (EMR, S3), pig, Big data) - Extracted & combined data from all-weather stations for the years Jan 1950- December 2017 using Hadoop MapReduce, EMR, S3 to identify maximum and minimum temperature