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Senior Data scientist at IBM| Machine Learning | Python | AI | Deep Learning | BIG DATA | Problem Solving | NLP | Open Source Contributor
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@IBM@SearsHoldingsIndia @FOSSEE @FractalAnalytics(fractal.ai)
Machine Learning
June 14, 2026 – Present
scrape_do_nlp
May 9, 2021 – May 21, 2021
I have made a package which will extract google news and twitter tweets and do sentiment analysis and give summarization output for the topic you choose
View ProjectCG_Pyspark_EDA_package
April 30, 2020 – October 15, 2024
I made this pyspark EDA package for CG team
View ProjectFull_pipeline_IMDB
July 20, 2019 – October 9, 2020
I have implemented full pipeline of datascience from scrapping data from web to implementing ml and NLP classification
View ProjectHR_analytics
June 26, 2019 – June 26, 2019
Can you predict which employee has a higher chance of getting promoted and help the help the organization to expedite the appraisal and promotion process? HR Analytics unbalanced problem
View ProjectCustomer_segmentation
June 23, 2019 – June 23, 2019
This reporsitory contains all techniques which can be used for customer segmentation techniques to find target customer
View ProjectAnomaly-Detection
June 14, 2019 – September 12, 2022
This repo depicts the techniques I have tried to detect anomalies in a dataset.
View ProjectNLP_CODES_PROJECTS
November 18, 2018 – May 11, 2019
This repository contains all NLP codes and project i will make.
View ProjectData_Foundations_Nanodegree
September 12, 2018 – November 14, 2018
This repository contains all my projects reviewed by mentors during my Nanodegree
View ProjectData-analysis-python-projects
June 15, 2018 – January 30, 2020
This are my basic projects build from scratch, I have used Python for programming.
View ProjectMachine-learning
May 26, 2018 – February 7, 2024
This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
View ProjectCultural Fit Analysis
The candidate shows a strong interest in Machine Learning and Data Science through numerous personal projects. The projects cover a good breadth of ML applications (NLP, anomaly detection, customer segmentation, HR analytics). The target role 'Machine Learning' aligns well with the project focus. However, the experience level is listed as 0, and the single listed 'experience' entry has a future start date (2026), which makes it difficult to assess actual professional experience or cultural fit within a team setting. The project descriptions are somewhat brief, limiting insight into collaborative aspects or problem-solving approaches.
Soft Skills & Operational Fit
The provided data is insufficient to assess soft skills or operational fit. Psychometric test scores are 0, offering no insight.