Prateek

Prateek Srivastava

Hackathons
6942
Rank
0
Points
Participated in [Student DataFest 2018] Skilltest - Python for Data Science
Participated in [Student DataFest 2018] Skilltest - Intro to Machine Learning
Participated in Student DataFest 2018: The Data Identity
Participated in Big Mart Sales Prediction
Participated in Black Friday Sales Prediction
Participated in [Student DataFest 2018] Skilltest - Ensemble Learning
Participated in [Student DataFest 2018] Skilltest - Decision Trees and K-Means
Participated in [Student DataFest 2018] Skilltest - Statistics and Probability
Participated in Webinar: How to crack analytics and machine learning interviews at campus placements?
Participated in Joke Rating Prediction
Participated in Age Detection of Actors
Participated in #chAI AI Unlocked Meetup (Bengaluru)
Participated in Webinar: Introduction to TensorFlow with Intel Optimizations
Participated in Webinar: Introduction to Time Series Modeling – A Must-Know Concept for Data Scientists
Participated in Twitter Sentiment Analysis
Participated in LTFS Data Science FinHack 2
Participated in Innoplexus Online Hackathon: Machine Learning Challenge
Participated in Janata Hack - Machine Learning Hackathon to support Janata Curfew
Participated in Student DataFest 2018: The Data Supremacy
Participated in Janatahack: Healthcare Analytics
Participated in Machine Learning Starter Program Hackathon
Participated in Machine Learning at Scale to Power Businesses (Bengaluru Meetup)
Participated in McKinsey Analytics Online Hackathon
Participated in Time Series Forecasting
Participated in Identify the Digits (MNIST)
Participated in Loan Prediction
Participated in Janatahack: Healthcare Analytics II
Participated in Identify the apparels (Fashion MNIST)
Participated in Janatahack: Cross-sell Prediction
Participated in Janatahack: Machine Learning in Agriculture
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in Janatahack: Customer Segmentation
Participated in LTFS Data Science FinHack 3

Experience

Designation Reporting Analyst
Company EXL
Duration June 21, 2018 - Present
Job Profile My role as a Reporting Analyst is to furnish executive leadership team with insights, analytics, reports and recommendations enabling effective strategic planning across all business units, distribution channels and product lines. Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling that were used to deepen relationships, strengthen longevity and personalize interactions with customers. Analyzed and processed complex data sets using advanced querying, visualization and analytics tools. Identified, measured and recommended improvement strategies for KPIs across all business areas. Tools used: Python, Oracle SQL, PySpark.
Designation Reporting Analyst
Company EXL
Duration June 21, 2018 - Present
Job Profile My role as a Reporting Analyst is to furnish executive leadership team with insights, analytics, reports and recommendations enabling effective strategic planning across all business units, distribution channels and product lines. Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling that were used to deepen relationships, strengthen longevity and personalize interactions with customers. Analyzed and processed complex data sets using advanced querying, visualization and analytics tools. Identified, measured and recommended improvement strategies for KPIs across all business areas. Tools used: Python, Oracle SQL, PySpark.

Skill

unix, Unix shell scripting, svm, unsupervised learning, xgboost, visualization