sadashivb

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About sadashivb

Member Since Sept. 23, 2015, 1:16 p.m.
Location Pune, India
Area of Interest R, Python, SSIS, Informatica, Machine Learning, QlikView, Apache Hive, QlikSense, MS SQL 2012/2014, Data Warehouse design, Teradata v2r5/v2r6/12, ETL design, OLAP cube design, dimensional data modeling, Oracle 10g/11g

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Participated in Janatahack: Healthcare Analytics and secured rank 160
Participated in Re-Date Your Data: Learning Contest and secured rank 21
Participated in The Smart Recruits and secured rank 48
Participated in Mini Hack : Strategic Thinking and secured rank 465
Participated in The D Hack and secured rank 88
Participated in Black Friday Data Hack and secured rank 83
Participated in Date Your Data and secured rank 35
Participated in Practice Problem: Urban Sound Classification
Participated in Blogathon
Participated in Experiments With Data
Participated in LearnUp - Learn Data Science From Scratch
Participated in AVdatafest : Experiments With Data
Participated in AVdatafest : The Seer's Accuracy
Participated in Skilltest: Machine Learning
Participated in Practice Problem: Skilltest - Machine Learning
Participated in Mini Hack : Excel
Participated in Black Friday Sales Prediction
Participated in Experiments with Data
Participated in Recommendation Engine
Participated in Loan Prediction
Participated in Time Series Forecasting
Participated in Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
Participated in Practice Problem: Strategic Thinking II
Participated in Fractal Analytics Hiring Hackathon
Participated in Janatahack: Healthcare Analytics II
Participated in Janatahack: Customer Segmentation
Participated in Janatahack: Machine Learning in Agriculture
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in Janatahack: Cross-sell Prediction
Participated in LTFS Data Science FinHack 3
Participated in DataHour: Building Beautiful Apps using Flutter and its Powerful Ecosystem
Participated in Dataverse Hack: Build an AI Model to Save Lives
Participated in DataHour: Deep Dive into Graph Neural Nets for Content NLP
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