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Work Background
Senior Data Scientist
spocto - A Yubi CompanySenior Data Scientist
Jan. 2023Mumbai, Maharashtra, India
Team Lead - API integration & Architecture and Data Science and Analytics
spoctoTeam Lead - API integration & Architecture and Data Science and Analytics
Dec. 2021 - Oct. 2023Mumbai, Maharashtra, India
Data Scientist
SpoctoData Scientist
Sep. 2019 - Oct. 2023Mumbai Area, India• Working on multiple live projects which includes Machine Learning, Data Mining, Data Integration, Data Analysis, Database Management, Data Scraping, Data Engineering. • Worked on Rasa Chatbot ( using NLP). • Purely Working on Python for Machine Learning and Data Analysis. • Using ELK Stack [ElasticSearch, Logstash, Kibana] to Store, Transform and Visualize Data. • Moved whole RDBMS data to Elastic Search using the logstash. Ruby was also used within logstash Script to handle critical transformations. • Managing the team of 3 people. • Handling Day to Day Data processing and data transformation activities. • Build Machine Learning Models to impute the missing data and enhance the quality of data.
Associate Data Scientist
PropstackAssociate Data Scientist
Jul. 2018 - Jul. 2019Mumbai Area, India• Crawled the large data-sets(Real-Estate) from different sources using python as a primary client and stored it to MongoDB as well as Mysql. • Structured large data-sets by applying standard data modeling techniques and advanced statistical methods. • Identified gaps in Data processes and drive improvements via continuous improvement loop. • Loaded and Transformed data via using scripting languages and tools. (eg: python, spark, shell script.) • Visualized Data using D3 Charts and created the dashboards using Django. • Took care of all ETL processes. • Improved data quality, reliability & efficiency of the individual components & the complete system.
Data Scientist Intern
Manipal UniversityData Scientist Intern
Jul. 2016 - Aug. 2017IndiaI worked on the project 'GitHub Data Analytics' where my responsibilities were as follows: a) Collecting the Meta data of around 5000 github users with the help of GitHub standard API using Python Client. b) Retrieving the interesting features from data. c) Applying Analytics on Available Data. d) Forecasting some fruitful results ,which will be helpful in making future prediction by using the important features from data,do machine learning on data and use these important features for fitting the statistical models . e)Caching the data locally with the help of NOSQL to speedup the analytics tasks . f) using kibana and some python libraries such as (NVD3, Plotly, Bokeh, Matplotlib) for data exploration and visualization.

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Lead Data Scientist for BFSI ML & Decision Systems
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