Still Struggling with Tech Hiring? Discover Olibr's Solution Now!

HITESH MANN

Staff Engineer

  • East Delhi, DL
  • 8 years
Notice Period: 60 Days

    Candidate's About

    I am an Analytics & Research Professional with 7+ years of experience in executing data-driven solutions that help businesses increase the efficiency and utility of internal data processing. I have created data regression models, used predictive data modeling, and analyzed data mining algorithms to deliver insights and implement action-oriented solutions to business problems.

    Work & Experience

    S

    Staff Engineer (Data Science Engineer)

    Sep 21 - PRESENT

    Technology

    • Icon
      AWS
    • Icon
      Python
    • Icon
      Data Wrangling
    • Icon
      Machine Learning
    • Icon
      Power BI

    Tools

    • Icon
      Microsoft-Azure
    • Icon
      Docker
    • Icon
      Jira
    • Developed a sophisticated Market Mix Model for a leading automotive company, leveraging machine learning techniques to evaluate marketing strategies impact on car sales.
    • This project involved creating a multiplicative regression model to accurately forecast sales based on a mix of media investments and macroeconomic indicators, optimizing for maximum ROI.
    • Effectively utiliz...
    Read More
    S

    Staff Engineer Data Science Engineer

    Sep 21 - PRESENT

    Technology

    • Icon
      Python
    • Icon
      R Basic
    • Icon
      Tableau
    • Icon
      SQL

    Tools

    • Icon
      Jira
    • Icon
      Visual-Studio
    • Build multiple Dashboards on Power BI to analyze engine performance of cars
    • Provide ongoing analytical support using data management and technology to address client issues regarding data integrity
    • Collaborate with Data Engineer to build end-to-end CI/CD pipelines using Redshift for ML models
    • Build classification models using machine learning techniques (random fore...
    Read More
    S

    Senior Analytics Engineer

    May 19 - Sep 21

    Technology

    • Icon
      Python
    • Icon
      R Basic
    • Icon
      SQL
    • Icon
      Tableau
    • Icon
      Power BI

    Tools

    • Icon
      Jira
    • Icon
      Visual-Studio
    • Provide measurement, reporting, and analytics for digital media, website, CMR, and offline activities
    • Monitor key trends and metrics to identify areas for operational and marketing improvement
    • Develop and apply advanced analytics to areas such as marketing testing, yield optimization, marketing mix modeling, and attribution
    • Develop and maintain analytical tools (R a...
    Read More
    S

    Senior Data Analyst

    Sep 18 - Jan 19

    Technology

    • Icon
      Python
    • Icon
      Tableau
    • Icon
      R Basic
    • Icon
      Power BI

    Tools

    • Icon
      Jira
    • Icon
      Visual-Studio
    • Understood and articulated business problems into technical solutions, providing the required output
    • Provided Machine Learning solutions to stakeholders using R and Power BI
    • Utilized text mining skills on social media data, including NLP, topic modeling (using LDA), and sentiment analysis
    S

    Senior Research Analyst

    Apr 16 - Aug 17

    Technology

    • Icon
      Python
    • Icon
      R Basic
    • Icon
      Tableau
    • Icon
      Power BI

    Tools

    • Icon
      Jira
    • Icon
      Visual-Studio
    • Conducted primary and secondary research and generated and qualified market analytics/research
    • Profiled accounts by finding facts such as which hardware and software applications each prospective company had installed
    • Monitored and updated information related to leads, contacts, accounts, and account hierarchies in CRM to maintain a clean and structured database
    R

    Research Analyst

    May 15 - Jan 16

    Technology

    • Icon
      Python
    • Icon
      Tableau
    • Icon
      Power BI
    • Icon
      R Basic

    Tools

    • Icon
      Jira
    • Icon
      Visual-Studio
    • Collected data on consumers, competitors, and the marketplace and consolidated information into actionable items, reports, and presentations
    • Sourced relevant and accurate information through secondary (including databases) and primary research
    D

    Data Analyst

    Jan 14 - May 15

    Technology

    • Icon
      Python
    • Icon
      R Basic
    • Icon
      Tableau
    • Icon
      Power BI

    Tools

    • Icon
      Jira
    • Icon
      Visual-Studio
    • Created reports that provided information on business activity
    • Reports may have been daily, weekly, or monthly and may have included data, graphics, charts, pivot tables, etc. using Excel.

    Education

    M

    Bachelor of Commerce

    Manav Bharti University
    2011 - 2013
    M

    Post Graduate Diploma in Data Science

    Maharishi University of Information Technology
    2017 - 2018

    Certificates

    D

    Data Manipulation in R

    DataCamp
    D

    Digital Marketing (Google Certified)

    DSIM Delhi

    Achievements

    • Conducted research using focus groups on 3 different products and increased sales by 11% due to the findings.
    • Built a model that determines the polarity of tweets (using Paytm's Twitter handle and creating a Twitter API) by using text mining, web scraping, and sentiment analysis to classify words as negative or positive.
    • Developed key performance Indicators to monitor sales and decreased costs by 17% for a renowned Automotive premium segment giant.
    • Predicted the Percentage of loan approval by a bank on Analytics Vidhya (Score- 0.7847)
    • Built an algorithm to keep the users engaged on the platform by their authors so that they can solve the problem (which were developed by authors) on Analytics Vidhya (Score-0.010439).
    • Predicted the Sale Price for each house on Kaggle (RMSE = 0.17608).
    • Forecasted future sales of an automobile company for the next 36 months using ARIMA.
    • Analyzed various data sets such as e-Commerce, Retail, Web Server, and Game Portals.
    • Completed market analysis for one of the US-based retail giants, resulting in a 21% increase in sales.
    • Predicted survival on the Titanic from Kaggle dataset with a GINI coefficient of 0.18.