Sparsh Dwivedi

Associate Consultant

Bengaluru, Karnataka, India10 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

6+ years of experience in data management and analytics.
Expert in building data-driven models and automating decision processes.
Completed advanced analytics course from IIM-B.

Stackforce AI infers this person is a Data Science expert with a focus on Human Resources and Fintech analytics.

Contact

dwivedisparsh05@gmail.com LinkedIn

Skills

Core Skills

Data ScienceMachine Learning

Other Skills

.NETAlgorithmsBusiness AnalyticsCC#C++ LanguageData AnalysisData VisualizationEDAHTMLIT RecruitmentMicrosoft ExcelMicrosoft OfficeMicrosoft WordNatural Language Processing

About

Consultant, result-oriented and self-driven data strategy aspirant with 6+ years of experience in data management, machine learning, interpretation and analysis using advanced tools to facilitate strategic decision making. Expert in building data-driven models and automating complex decision processes. Apart from working full-time as an Consultant, have completed a course in Analytics and Data Science from IIM-B to leverage skills and deploy the acquired knowledge with passion for your company.

Experience

10 yrs

Total Experience

3 yrs 4 mos

Average Tenure

6 yrs 7 mos

Current Experience

Fractal

3 roles

Sr. Consultant Lead

Mar 2025 – Present · 1 yr 3 mos

Sr. Consultant

Promoted

Oct 2021 – Mar 2025 · 3 yrs 5 mos

Consultant - Advance Analytics and Data Science

Nov 2019 – Oct 2021 · 1 yr 11 mos

Projects:-
1) PPT automation using python project for one of world's top fintech service companies.
2) Turnover prediction - Finding out employees churn rate using predictive model.
3) IGT survey analysis - The project was to find out about the employees generation and their productivity.
4) Job recommendation engine - The model recommends best inflow and outflow roles for a particular job role. The model has been developed using NLP and distance matrix.
5) New normal and pulse survey analysis - Finding out employees sentiments and category of there comments using NLP.
6) Hypothesis testing - Various hypothesis testing have been done using ANOVA and chi-square.

PythonNatural Language ProcessingPredictive ModelingData AnalysisData ScienceMachine Learning

Gd research center pvt. ltd.

Analyst (Data Scientist)

Apr 2017 – Oct 2019 · 2 yrs 6 mos · Greater Hyderabad Area

Twitter Sentiment Analysis for Technology Trends
Analyzed the social landscape and sentiment analysis
Used text analytics for perception mapping of the latest technology
Techniques used: Natural Language Processing
Model to predict Churn customers for a banking client
An early churn prediction tool was made for an International Telecom client
Analyzed old data of Customers usage and defined churner based on the track record of usage by customers
Transaction-level data for each customer was used in the analysis
Tools Used: Python

Natural Language ProcessingPythonData AnalysisData Science

Adani wilmar

Market Research Intern

Apr 2016 – May 2016 · 1 mo · Greater Ahmedabad Area

Undertook extensive primary research to study about consumer
awareness and willingness for Fortune Vivo (New product launch)
Primary research on third party vendors and distribution networks
through interviews and one on one interactions
Use of statistical tools (SPSS) for execution of the project
Recommendations on the promotional mix after detailed study of
Indian Modern Trade and Product Management for Fortune Vivo

SPSSStatistical Analysis

Ims people

Recruiter Consultant- IT

May 2013 – Apr 2014 · 11 mos

~First point of contact for newly acquired clients and understanding their
business
~Allocating jobs to in house recruiters and sourcers to fulfil client’s requirements
in the most efficient and cost effective manner and act as an interface between
them
~Regular Interaction with U.S based clients to gauge expectations and provide
recruitment solutions
~ Responsible for maintaining daily trackers/resource productivity reports for the
clients and handling any deviations/issues that may arise