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Rishabh Sharma

@rishabhsharma

Capabilities and Insights Analytics Analyst at McKinsey & Company

Delhi

https://www.linkedin.com/in/rishabh-sharma-294339156

Environmentalist Foundation of IndiaIGNOU

Rishabh Sharma is an analytics professional with over three years of experience in research-based consulting. He specializes in statistical modeling, data mining, and predictive analytics, currently serving as an Analytics Analyst at McKinsey & Company. He holds an M.Sc. in Operational Research and a B.Sc. in Statistics.

Experience

Volunteer

Environmentalist Foundation of India

VolunteerDec 2001 - Present

EFI organizes environment volunteering programs every weekend to join a gang of nation builders, nature enthusiasts to conserver what is left.

Capabilities and Insights Analytics Analyst

McKinsey & Company

Aug 2001 - Present

Perform general statistical analysis and modeling in client engagements for marketing and sales efforts. Develop statistical models, Survey and general analytics to measure and optimize pricing and promotions. Provide guidance to teams on analytics projects related to technique/modeling related issues. Support development and maintenance of proprietary McKinsey marketing techniques and other knowledge development projects.

Data Science and Business Analytics Intern

The Sparks Foundation

InternshipSep 2001 - Nov 2001

Analysing and Interpretation of data using supervised ML, unsupervised ML, Decision Tree, Stock market prediction using numerical and textual analysis and timeline analysis of COVID – 19.

Plastic wastage campaign Volunteer

WWF

VolunteerJul 2001 - Oct 2001

Associated with WWF to reduce the plastic consumption in households and teaching people about its harmful effects.

Subject Matter Expert

Chegg

Part TimeAug 2001 - Oct 2001

Authoring Solutions for advanced questions about Statistics subject. Resolving queries posted by USA student. Managing online QA sessions. Learning about new teaching methodologies and preparing learning objectives for any course.

Market Intelligence Analyst

Nielsen Sports India

Jan 2001 - Oct 2001

Market and Sector Analysis - Analyse the sponsorship landscape in depth based on specific requirements. Competitors Analysis - Monitor and analyse the sports sponsorship activities of competitors around the world. Activation Analysis - Activation analysis of relevant sponsors measures referring to specific objectives, industries, sports or markets.

Project Control Specialist

Fluor Corporation

Dec 2001 - Aug 2001

Interpret data, analyse results using statistical techniques and provide ongoing reports. Develop and implement database, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality. Implementation of advanced statistical techniques for predicting the duration of various engineering projects.

Survey and Data Analyst Intern

Chevrolet India

InternshipJun 2001 - Jul 2001

Analysis and Interpretation of the automobile data. The process by which sense, and meaning are made of the data gathered in market research, and by which the emergent knowledge is applied to clients' problems.

Education

IGNOU

PG Diploma

Sustainability Science

PresentGrade: Appearing

IGNOU

PG Diploma

Applied Statistics

Jan 2021Grade: 81%

Ramjas College, Delhi University

M.Sc.

Operational Research

Jan 2020Grade: 76.5%

Ramanujan College, Delhi University

B.Sc. (H)

Statistics

Jan 2016Grade: 78.17%

Central Board Of Secondary Education

CBSE XII

Jan 2012Grade: 85.8%

Central Board Of Secondary Education

CBSE X

Jan 2010Grade: 9.4 (CGPA)

Licenses & Certifications

Data Science and Machine learning with R

Udemy

Issued: Jul 2019

Open Source tools for Data science

IBM (Coursera)

Issued: Jul 2019

Effective Business presentations with PowerPoint

PWC (Coursera)

Issued: Jul 2019

Data Driven Decision Making

PWC (Coursera)

Issued: Jun 2019

What is Data Science?

IBM (Coursera)

Issued: Jun 2019

R Programming

John Hopkins University (Coursera)

Issued: Jun 2019

Getting Started with Python

University of Michigan (Coursera)

Issued: Jan 2019

Skills

R
PYTHON
SPSS
EXCEL
SQL
TABLEAU
POWERBI
Data mining
Data modelling
Data Wrangling
Descriptive Analytics
Predictive Analytics
Time Series
Machine Learning
Naïve Bayes
K-NN
K-means
Decision trees
Association Rules
Market Basket Analysis
Random Forest
Linear Regression
Logistic Regression
ETL
Data Visualisation
Statistics
Data Science
Testing of Hypothesis
Sampling methods
Data interpretation
Conjoint Analysis
Industrial Statistics
Probability Distributions
Statistical Inference
Econometrics
CHAID
Forecasting
Operations Research
Market Research
Factor Analysis
Correspondence Analysis
Secondary Research
Marketing
Mathematical Programming
Dynamic Programming
Network Optimisation
Monte Carlo Simulation
AHP
DEA
Supply Chain Analytics
Quality Control