I am a Applied Data Science student, passionate about telling stories backed up by data. My goal is to combine my technical and business skills to reach smarter business decisions. I am currently researching on fake news early detection using machine learning. After securing my master's degree I plan to use my knowledge in data science to generate actionable insights for companies.
Designed the first actionable performance metrics for $713.9 million annual spending in contract services for 55 agencies in City of New York by statistical methods and collaboration with cross functional teams
Improved the efficiency of contract sign-off by 30 days by utilizing R, Power BI
Technology Stack: R, NYC GBAT, Power BI, Mysql, MS SQL Server, SharePoint, Power Apps
Led the daily status meetings, fiscal years audits with Business Partners and vendors from offsite as a single of point of contact
Developed the business-critical application of optimizing vehicle performance by processing signal sensor data
Improved DataStage effectiveness by designing optimal database architecture which reduced the load/run time by 5 hours
Consolidated, transformed & analyzed complex data to assess supply & sales of 2.5 million yearly vehicle
Supervised 20+ new associates in team; mentored them in SQL, BI tools and business areas
Escalated issue response rate to 92% by automating failure notifier system of 120 BI applications across India & US
Technology Stack: IBM DataStage 11.3, 11.5 (ETL), DB2, Unix Server – Putty, Excel, Salesforce
• Working as a Python/ Django full stack developer with iSchool Student Development team
Actively involved in developing the methods for Create, Read, Update and Delete (CRUD) and perform operations on PostgreSQL
Designing RESTful API's, manage relational databases and schema design
Developing backend modules using Python on Django MVC Web Framework
Managing the code versioning with GitLab and deployment to staging and production servers
Engineered comprehensive database management module, which provided an efficient search mechanism to explore various MBA and Engineering colleges across India using SQL, JavaScript, HTML5, CSS, and Oracle DBMS.
Collaborated in a team to design a crawler code in Python and PHP scripts to mine University websites to retrieve the data regarding the University Information
Correlated the anomalies in stock prices to both negative and positive financial news published in market
Developed the API in Python to fetch the news articles and stocks data
Build logistic regressor to predict +ve or -ve sentiment score and linear regressor with seasonality to predict the fluctuation in time series stocks data
Technology Stack: Python, Spark, Jupyter Notebooks, Logistic and Linear regression, Seasonality, Data Visualization
Built an interactive R-shiny application like online doctor which gives cognitive responses to user input
Developed predictive model using random forest and k-Means clustering to classify patient’s condition and recommend drug
Technology Stack: R, R-shiny, rmarkdown, decision trees, kNN, K-means clustering, tree bagging, tokenization, ngram model
Developed analytical modelling to help Business Investors & Android developers in investment decisions
Analyzed the consumer trend by pattern recognition using forecasting model by applying probability distribution theory and Naïve Bayes model and Visualized the results using Pivot tables and presented the business insights
Cross validated the results using confidence interval, hypothesis testing, t-test and p-test
Technology Stack: Stat Tool, Excel, Pivot tables, Tableau, R, Excel Reporting
Developed cognitive search engine to output the relevant content to user search query in a Web Interface
Performed the text ranking on the data collected via elastic search and Apache nutch & stored in Hadoop clusters and RDDs
Technology Stack: Python, HBase, RDDs, Spark, Elastic search, Apache Nutch, SQL, Page Rank, Google API
Implemented system to automate order processing, cost computation & warehouse management with inventory analysis
Created user interface for business client to manage products, transactions and transportation in MS Access
Conducted requirement analysis & gathered data to setup database of the company using MS SQL Server & MS Visio
GPA: 3.7/4 (STEM)
GPA: 4/4
Relevant Coursework: Data Structures, Software Engineering, Object Oriented Programming, Computer Architecture, Soft Computing