EDELWEISS TOKIO LIFE INSURANCE: Data Warehouse Model, Designing, OLAP Reporting | Senior Data Analyst

Managed a team of 14, 3 Data Analysts, 3 Data Scientists, 3 Business Analysts, ETL developers and Software Engineers.

Created a data warehouse model for the Insurance company from complete scratch and developed a business model.

Resulted in a growth of 4.2% in the year 2017-18 to 7.4% in the year 2018-2019.

NCR (NATIONAL CASH REGISTER): Data Model & Machine Learning Model, User-Authentication | Senior Data Analyst

Managed a team of 11, including Data Analysts, Data scientists, Production Manager, Software Engineers.

Created a Data model and security model (Machine learning) for finding out the security issues & flaws in the ATMs.

Projects Worth $1.5M, Company Generated a sale of 40% in Delhi sector for the year 2019.

HYDERABAD FOOTBALL CLUB: Player Substitution ML Model, Data Analysis, Validation & Mining | SDA

Developed K-Nearest Neighbour ML Model for Player substitution, Data extraction & Analysis of 86 Columns of Data with 80,000 + Rows, performed vector extractions for finding out best attributes for Machine Learning.

This resulted in finding out the best 5 substitute players for the injured football player.

PUNE URBAN DEVELOPMENT: Property Pricing Index, Data Analysis, Data Validation & Data Mining | Data Analyst

Developed a property pricing Index, requirement gathering from stakeholders, data model & business model, built a statistical & predictive analysis on the datasets using R scripting for finding out the future pricing market of house costs in Pune City.

Resulted in the market growth of 29% from 6% from the year 2016 to 2017.

STOCK MARKET PREDICTION: Deep Learning Model, web scrapping & Predictive Modeling | FreeLancer

Built a predictive model from scratch for finding out the British Petroleum share prices in upcoming years from the Weather News data from the past 15 years, created a deep learning model using LSTM & CNN algorithms for stock market predictions.

Results indicated that the Share price will increases by 15% for the upcoming year 2021.

HUMAN EMOTION RECOGNITION: Deep Learning Model & Data Validation | Dissertation (Post Graduate Project)

Built a deep learning-based model using CNN Algorithm for finding out the human emotions from voice, performed cepstral analysis, Loudness, Timber and Frequency on various kinds of voices and extracted the emotions based on the results.

AI-BASED CHATBOT: Personal Project

Built an Artificial Intelligence-based interactive chatbot using python scripting, hard code.