Tushar Bangali

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Tushar Bangali

Computer Science · Sandip University

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Projects

Certified

Self-directed project

Machine Learning for Automotive

AI / ML · June 2026

84/ 100

A ProoV case study · educational project, not employment

A verified, self-directed industry project — completed and passed a real industry rubric at 84/100 on ProoV.

Graded against

  • Exploratory Data Analysis20%
  • Feature Engineering25%
  • Model Building & Evaluation35%
  • Business Communication20%

Passed · pass mark 60/100

What stood out6
  • Correctly compared Linear Regression and Random Forest and identified Random Forest as the stronger model
  • Used meaningful engineered features such as car_age and mileage_per_year
  • Interpreted feature importance in a business-relevant way for the CPO team
  • Quantified financial impact to support the recommendation
  • Data-Driven Decision Making
  • Feature Engineering
The work I submitted10 tasks

5 tasks · 6 lines · 5 written answers · 173 words

  • VW Sprint1 Complete56 characters
  • VW Sprint2 Complete61 characters
  • VW Sprint3 Complete59 characters
  • VW Business Insights1.7k characters
  • Jupyterlite Code2 lines
  • VW Sprint1 Complete1 word
  • VW Sprint2 Complete1 word
  • VW Sprint3 Complete1 word
  • VW Business Insights169 words
  • Jupyterlite Code1 word

Summarised on purpose — the submitted code and writing stay private so this page cannot be reused as an answer key. The full submission sits behind the verified certificate.

Verified certificateTamper-proof · issued by ProoV
Certified

Self-directed project

Business Analytics Sprint

Data Science · June 2026

86/ 100

A ProoV case study · educational project, not employment

A verified, self-directed industry project — completed and passed a real industry rubric at 86/100 on ProoV.

Graded against

  • Problem Framing & Hypotheses10%
  • Data Analysis & SQL30%
  • Root-Cause & Forecasting25%
  • Dashboard & Visualization15%
  • Executive Communication & Strategy20%

Passed · pass mark 60/100

What stood out6
  • Identified the three most plausible profit drivers early and consistently aligned later analysis to them
  • Correctly surfaced the key Asia Pacific insight: strong revenue growth but very weak margin and heavy discounting
  • Produced a clear boardroom-style storyline with problem, causes, forecast, recommendation, and impact
  • Demonstrated stakeholder-aware communication by addressing growth concerns without rejecting leadership priorities
  • Structured Problem Framing
  • Data-Driven Decision Making
The work I submitted17 tasks

9 tasks · 4.9k characters · 8 written answers · 429 words

  • Hypothesis Sheet1.0k characters
  • KPI Driver Map168 characters
  • Data Audit100 characters
  • Dashboard58 characters
  • Forecast279 characters
  • Boardroom Deck693 characters
  • Stakeholder Qa1.0k characters
  • Executive Summary855 characters
  • Bosch Real Case Study677 characters
  • Hypothesis Sheet120 words
  • KPI Driver Map1 word
  • Data Audit4 words
  • Dashboard1 word
  • Forecast6 words
  • Boardroom Deck51 words
  • Stakeholder Qa139 words
  • Executive Summary107 words

Summarised on purpose — the submitted code and writing stay private so this page cannot be reused as an answer key. The full submission sits behind the verified certificate.

Verified certificateTamper-proof · issued by ProoV
2Projects completed
2Verified certificates
85Average score
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