Nishantkumar

Nishantkumar Bhavsar

Hackathons
57
Rank
136
Points
Participated in JanataHack: Demand Forecasting
Participated in Genpact Machine Learning Hackathon
Participated in Enigma codeFest Machine Learning
Participated in Student DataFest 2018: The Data Supremacy
Participated in WNS Analytics Wizard 2018 (Machine Learning Hackathon)
Participated in [Student DataFest 2018] Skilltest - Decision Trees and K-Means
Participated in AmExpert 2018 (Machine Learning Hackathon)
Participated in LTFS Data Science FinHack ( ML Hackathon)
Participated in #AVdatafest SkillPower: Machine Learning
Participated in Practice Problem: Intel Scene Classification Challenge
Participated in Student DataFest 2018: The Data Identity
Participated in Capillary Machine Learning Hackathon
Participated in India ML Hiring Hackathon 2019
Participated in Game of Deep Learning: Computer Vision Hackathon
Participated in [Student DataFest 2018] Skilltest - Ensemble Learning
Participated in Club Mahindra DataOlympics
Participated in ML Hikeathon (An Online Machine Learning Hackathon)
Participated in AmExpert 2019 – Machine Learning Hackathon
Participated in Student Hunt 2017
Participated in [Student DataFest 2018] Skilltest - Intro to Machine Learning
Participated in Innoplexus Online Hiring Hackathon: Saving lives with AI
Participated in [Student DataFest 2018] Skilltest - Python for Data Science
Participated in LTFS Data Science FinHack 2
Participated in DataHack Premier League 2018
Participated in Lord of the Machines: Data Science Hackathon
Participated in 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 Loan Prediction
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 Joke Rating Prediction
Participated in 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 Predict Number of Upvotes
Participated in Tredence (SQL Hackathon): Hack and Get Hired
Participated in Analytics Vidhya Internship Challenge
Participated in QuantumBlack Hackathon
Participated in HR Analytics
Participated in Identify the Sentiments
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 Webinar: How to Deploy your ML Model?
Participated in JanataHack: Machine Learning for Banking
Participated in Janatahack: Healthcare Analytics II
Participated in JanataHack: Time Series Forecasting
Participated in JanataHack: Recommendation Systems
Participated in Black Friday Sales Prediction
Participated in Time Series Forecasting
Participated in Janatahack: Healthcare Analytics
Participated in Janatahack: Machine Learning in Agriculture
Participated in JanataHack: Machine Learning for IoT
Participated in JanataHack: Mobility Analytics
Participated in JanataHack: HR Analytics
Participated in JanataHack - E-Commerce Analytics ML Hackathon
Participated in Women Data Science Hackathon by Bain & Company
Participated in Janata Hack - Machine Learning Hackathon to support Janata Curfew
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in LTFS Data Science FinHack 3
Participated in Janatahack: Cross-sell Prediction
Participated in AmExpert 2021 – Machine Learning Hackathon
Participated in DataHour: Artificial Intelligence in Retail
Participated in DataHour: Learning Path to Master Data Engineering in 2022
Participated in DataHour: MLOps—DevOps for Machine Learning

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

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