Hire a Competent Data Scientist | ML, Predictive Analysis. Statistics
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Hire a Data Scientist with Expertise in Predictive Modeling and Deep Learning Algorithms

Proficient Data Scientist Excelling in ML, Predictive Modelling, Statistics, and Data Visualization


The candidate is an experienced data scientist with a strong background in analyzing and interpreting data to drive business decisions. They have a proven track record of developing and deploying predictive models to address key business challenges, such as customer satisfaction and churn prediction. They have also applied deep learning algorithms in cutting-edge domains like Computer Vision, Speech, and Natural Language Processing.

Additionally, they have experience in sales forecasting and analysis, as well as stock market analysis. The candidate holds a PGP in Business Analytics, an MBA in Finance & Marketing, and a B.Tech in Computer Science & Engineering. They have also completed various online courses and certifications in machine learning and programming languages like Python and R.

Work Experience


AGM – Data Scientist
  • Developed and utilized the Detractor model to accurately predict customers with low service ratings, enabling the Business and Customer Service teams to convert them into satisfied Promoters for both Vodafone and Idea brands across PAN-India.
  • Implemented the SARIMA forecasting algorithm on separate Port-out data for Vodafone and Idea brands, resulting in weekly Port-out forecasts for each brand.
  • Developed prepaid churn models for Idea brand, predicting churn 15 days in advance and deploying the model for all circles, obtaining performance measures.
  • Analyzed and predicted the likelihood of churn for Pre-Paid subscribers based on their Drop-in-Usage (DIU) for both Vodafone and Idea brands, assisting the business team in creating appealing offers to prevent churn.
  • Constructed the Handset Upgrade model for Vodafone brand, identifying subscribers using 2G feature phones with a high propensity to upgrade to a 3G/4G smartphone.


Data Scientist
  • Assisted business users in making data-driven decisions and provided support to various departments by analyzing and interpreting data.
  • Measured the impact of implemented changes and evaluated their effectiveness.
  • Developed and executed complex SQL queries for data manipulation and analysis.
  • Conducted feature engineering, statistical analysis, and simulation to uncover insights.
  • Created data visualizations to effectively communicate findings and trends.
  • Implemented machine learning algorithms and predictive models using Python.


Machine Learning Engineer
  • Applied Deep Learning research to develop business solutions and implemented advanced Deep Learning algorithms on modern Machine Learning platforms.
  • Addressed complex problems in exciting domains such as Computer Vision, Speech, and Natural Language Processing (NLP).


Sales Officer – Trade Loyalty
  • Kept up-to-date with sales and promotions, payment and exchange policies, and security practices.
  • Forecasted monthly sales of Food and PCP products by category and sub-category in various sections.
  • Made data-driven decisions to increase NTD sales in the company’s high-end grocery outlets.
  • Oversaw program deliverables and customized loyalty-specific inputs.
  • Managed permanent merchandising tasks and implemented Sell-Out Solution.
  • Assisted in outlet identification and enrollment for the branch.


Business Analyst
  • Analyzed stock market data daily.
  • Interacted with clients to address their queries about stock market trading.
  • Scrutinized client needs and requirements and p suitable solutions to meet the same.


  • Completed PGP Business Analytics from Praxis Business School in Kolkata with a CQPI score of 4.7 out of 8.0 from 2017 to 2018.
  • Earned an MBA in Finance & Marketing from KIIT School of Management in Bhubaneswar with a CGPA of 6.56 out of 10.0 from 2013 to 2015.
  • Obtained a B.Tech in Computer Science & Engineering from KIIT School of Engineering in Bhubaneswar with a CGPA of 6.53 out of 10.0 from 2010 to 2014.
  • Completed XIIth in Computer Science from P.E.M.S in Bhubaneswar with a percentage of 72.6% from 2008 to 2010.
  • Completed Xth at Stewart School in Bhubaneswar with a percentage of 83.7% from 1999 to 2008.


  • Loan Prediction: Analyzed mortgage loan data and built multiple classification models to predict loan approval status using Python (pandas, numpy, scikit-learn).
  • Big Mart Sales Prediction: Developed a data model using exploratory data analysis and advanced regression techniques to predict product sales at different stores nationwide using Python (pandas, numpy, catboost).
  • Human Resource Analytics: Analyzed data and built multiple classification models to predict the likelihood of valuable employees leaving in the future using Python (pandas, numpy, scikit-learn).
  • Pima Indians Diabetes Data Set: Analyzed medical data of female patients with Pima Indian heritage and built predictive models to identify patients at risk of diabetes using Python (pandas, numpy, scikit-learn).
  • Magnitude 6+ Earthquakes: Developed a data visualization showcasing worldwide earthquakes between 1900 and 2013 with a focus on magnitude 6+ earthquakes.
  • Utilized Tableau to display the distribution of earthquakes based on their depth of occurrence and magnitudes.
  • Pokemon Index: Created visual representations to highlight the evolution of Pokemon and conducted comparisons among Pokemon members under various categories.
  • Certified in various courses, including AWS Machine Learning Foundation, A-Z: Hands-on Python & R In Data Science, and  Introduction to R, among others, from trusted online platforms.

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