Nishantkumar

Nishantkumar Bhavsar

Hackathons
34
Rank
1553
Points
Participated in [Student DataFest 2018] Skilltest - Python for Data Science and secured 78 rank
Participated in Genpact Machine Learning Hackathon and secured 79 rank
Participated in [Student DataFest 2018] Skilltest - Ensemble Learning and secured 9 rank
Participated in Club Mahindra DataOlympics and secured 94 rank
Participated in Innoplexus Online Hiring Hackathon and secured 34 rank
Participated in LTFS Data Science FinHack ( ML Hackathon) and secured 239 rank
Participated in Innoplexus Online Hiring Hackathon: Saving lives with AI and secured 41 rank
Participated in Student DataFest 2018: The Data Identity and secured 5 rank
Participated in Enigma codeFest Machine Learning and secured 283 rank
Participated in Capillary Machine Learning Hackathon and secured 25 rank
Participated in #AVdatafest SkillPower: Machine Learning and secured 82 rank
Participated in AmExpert 2019 – Machine Learning Hackathon and secured 142 rank
Participated in Practice Problem: Intel Scene Classification Challenge and secured 5 rank
Participated in Game of Deep Learning: Computer Vision Hackathon and secured 20 rank
Participated in AmExpert 2018 (Machine Learning Hackathon) and secured 870 rank
Participated in Innoplexus Online Hiring Hackathon Sentiment Analysis and secured 24 rank
Participated in Student DataFest 2018: The Data Supremacy and secured 82 rank
Participated in ML Hikeathon (An Online Machine Learning Hackathon) and secured 267 rank
Participated in WNS Analytics Wizard 2018 (Machine Learning Hackathon) and secured 680 rank
Participated in India ML Hiring Hackathon 2019 and secured 341 rank
Participated in [Student DataFest 2018] Skilltest - Decision Trees and K-Means and secured 6 rank
Participated in [Student DataFest 2018] Skilltest - Intro to Machine Learning and secured 76 rank
Participated in Student Hunt 2017 and secured 71 rank
Participated in LTFS Data Science FinHack 2
Participated in Practice Problem: HR Analytics and secured 680 rank
Participated in Practice Problem: Identify the Sentiments
Participated in Practice Problem: Predict Number of Upvotes and secured 283 rank
Participated in McKinsey Analytics Online Hackathon
Participated in ABInBev : Data Science Talent Hunt Hackathon
Participated in The Young Optimization Crackerjack Contest by IEOR @ IITB & McKinsey Knowledge Centre India
Participated in WEBINAR: The Importance Of Building The Right Problem Statement In Data Science
Participated in DataHack Premier League 2018
Participated in Lord of the Machines: Data Science Hackathon
Participated in Practice Problem : Twitter Sentiment Analysis
Participated in Felicity : Kings of Machine Learning
Participated in #AVdatafest Xtreme ML Hack : Machine Learning Hackathon
Participated in Webinar: Build a Recommendation Engine for Retail Data
Participated in Click Prediction Hackathon
Participated in Data Science Hackathon - Cross-sell: target the right customer
Participated in WNS Analytics Wizard 2019
Participated in Experiments with Data
Participated in Practice Problem: Skilltest - Machine Learning
Participated in #AVdatafest The QuickSolver : Machine Learning Mini-Hack
Participated in Webinar: Data Science vs Big Data vs Business Analytics (Choosing the right career track)
Participated in Data Science Interview Preparation Test
Participated in #AVdatafest Webinar: Use of Analytics in Telecom Industry
Participated in #AVdatafest PowerTool: SQL
Participated in DataFest Closing Ceremony
Participated in Practice Problem: Loan Prediction III
Participated in #AVdatafest PowerTool: Python for Data Science
Participated in #AVdatafest DATAHACK HOUR
Participated in Webinar: Automated Machine Learning using MLBox python package
Participated in Webinar: How to crack analytics and machine learning interviews at campus placements?
Participated in Big Break in Big Data: Sapient Talent Hunt for Data Engineers
Participated in McKinsey Analytics Online Hackathon
Participated in Practice Problem: Joke Rating Prediction
Participated in Practice Problem: Food Demand Forecasting
Participated in Webinar How to Get Started with your Data Science Career
Participated in Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
Participated in Webinar: How to Get Started with Natural Language Processing (NLP)
Participated in Webinar: Building products in the AI era
Participated in Webinar: Deep Learning and its Applications
Participated in Tredence (SQL Hackathon): Hack and Get Hired
Participated in Analytics Vidhya Internship Challenge
Participated in QuantumBlack Hackathon

Experience

Designation Data Science Intern
Company Artificial Intelligence | IoT | Software Development Company - Fusion Informatics
Duration Jan. 1, 2018 - May 31, 2018
Job Profile ● Designed and Implemented a web-based application to automate the entire ETL process and statistical dashboard. generation. ● Used Django web framework and MySQL database for processing business data and to keep track of data features. ● Implemented Cron Jobs to execute cleaning job on every dataset creation and updating the dataset. ● Used Pandas to handle and operate on data for data cleaning and transformation process. ● Defined default data sources by analyzing business KPI (Key Performance Indicator). ● R and Chart.js are used to build an interactive statistical dashboard from data sources. Exposure: Pandas, MySQL, Django, SQLAlchemy

Education

Course Bachelor's Degree
University Indus University
Duration 2014 - 2018
Job Profile

Skill

TFIDF ( term frequency- inverse document frequency, web application, xgboost, time series, visualization, tensor flow