Dec 2021 – Dec 2022 · 1 yr · Gurugram

• Org-Cognizant-Client–Bupa_Health_Insurance–Dec 2021- Dec 2022
• Currently working as, a Data Scientist – Medical Insurance Claim using various ML/DL algos –
• My daily job role includes –
• Understanding the business requirements.
• Gathering the relevant data, from various sources.
• Perform EDA, On the pooled dataset.
• Develop a baseline model and then enhance on it, by using various ML/Deep Learning Models.
• Analyze and compare the performance metrics for each of the model.
• Hyper parameter tuning for the chosen model.
• Create a summary report on my analysis.
• Cascade the report to the higher management team.
• To Provide KT/Learning on Deep Learning to new joiners.
• Handling 4-member team of Jr. Analysts.
• Performed few POC Projects –
• Business Use cases Used Model
• Claim Fraud detection Random Forest, DBScan, XGBoost, ART, MLP
• Image Classification Deep Learning – CNN
• PDF text Classification BERT, LSTM

Feb 2020 – Sep 2021 · 1 yr 7 mos · Noida

• Currently working as, a Data Scientist – performing text/sentiment/review analytics using NLP
• My daily job role includes –
• Understanding the business requirements.
• Gathering the relevant data, from various sources.
• Perform EDA, On the pooled dataset.
• Develop a baseline model and then enhance on it, by using various ML Models.
• Analyze and compare the performance metrics for each of the model.
• Hyper parameter tuning for the chosen model, using Grid/Random SearchCV, XGBoost algo..
• Create a summary report on my analysis.
• Cascade the report to the higher management team.
• Experienced on various POC Projects for various clients –
• Business Use - cases Used Model
• Sentiment Analysis Naïve Bayers, KNN – Using NLP
• Image Classification Deep Learning – ANN, CNN
• SVM
• Product classification Weighted - KNN
• Decision Tree
• Clustering DBScan
• Price Prediction- for featured
• products
• Linear Regression
• Logistic
• Featured Product recommendation Product based
• Recommendation System

Jun 2017 – Feb 2020 · 2 yrs 8 mos · Noida, Uttar Pradesh, India

• Currently working as Data Scientist Under BAKER HUGHES – GE Project.
• Baker Hughes, FPT product arm broadly comprised of 19 distinct product lines, including 4 unique
• brands. We have provided data in different formats – Excel, CSV, ERP DB Access – to extract data
• and analyze the appropriate market segment for each category/subcategory product line item. My role
• involves –
• Extract Data from Excel or CSV file
• Clean the data, organize data in proper format, Data Wrangling
• Perform Exploratory & Descriptive analysis using Python Panda library
• Perform hypothesis testing & apply Regression Models to test the hypothesis
• Applied ML models – Linear Regression, SVM, Logistics, Classification
• Analyze the data and plot the analysis on – charts, heat map…using python-Matplotlib
• Explain the findings to the senior management team.

Jun 2016 – Jul 2016 · 1 mo · Jangpura Extension New Delhi

• I basically works on the Energy saving project, in which i worked on to establish communication link between the various sensors and micro-controllers using LoRa(Long range wide area network) and control various process to save energy.