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Summary

Currently having the experience as Analyst and want to pursue Data Science with my skillset. Bringing forth a motivated attitude and a variety of powerful skills. Committed to helping companies advance by helping them to develop strategic plans based on predictive modeling and findings.

Birthdate

15/02/1999

Marital status

Unmarried

Gender

Male

Nationality

Indian

Work Experience

Eclerx Services Ltd.

Analyst

November 2021 - Now

  • Handling different stages of client/product life cycle
  • Preparation of reports using MS Excel.
  • Data capturing, cataloguing, data preprocessing, system inputs/updates
  • Risk identification and escalation

Skills

  • Programing

    Python, R Programming

  • Machine Learning

    Regressions, Classifications, Random Forest, Decision Tree, Time Series

  • Visualization

    Tableau

  • Additional Tools

    Sql, MySql, Ms Ecxel

Education

University Of Mumbai

Mathematics - Bachelor's Of Science

2018 - 2021

HSC

Science

2016 - 2017

Languages

Language

English: 

Professional

Language

Marathi: 

Native

Language

Hindi: 

Very Good

Courses and Certificates

Data Science

Imarticus Learning [KMPG]

Projects

Spend Analytics

  • With the given, Team had to find the Spend Expenditure of the company of Supply chain management of With the procurement of the materials.
  • After the Analysis, the company was suggested methods where the company saved around 10% of the initial expenditure

Time Series Forecasting

  • Worked upon the historical sales data for a superstore and forecasted the sales for the furniture products.
  • Used Exponential Smoothing and Seasonal ARIMA models in order to get the best forecast for the upcoming

Salary Prediction

  • Worked upon the census data and based on the details gathered during the census survey, predicted the annual salary of the individuals.
  • Used Logistic Regression for binary classification, worked upon tuning and optimizing the model to get the best accuracy around 83%.

Risk Analytics

  • Worked upon the loan data for home loans and based on the details gathered during the loan application process, predicted if the applicants were eligible for the loan or not.
  • Used Support Vector Machine for the classification, worked upon tuning and optimizing the model using Grid Search CV to get the best predictions that would be helpful to the client.
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