Ankit Singh

Data Scientist

Bengaluru, Karnataka, India9 yrs 9 mos experience

Key Highlights

8 years of experience in Product Analytics and Data Visualization.
Led teams to drive impactful business outcomes.
Expertise in predictive modeling across various industries.

Stackforce AI infers this person is a Data Analytics expert with a strong background in B2C and Digital Marketing.

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Skills

Core Skills

Analytics

Other Skills

Power BISalesforcePythonData AnalyticsData VisualizationMachine LearningProject ManagementSearch Engine Marketing (SEM)Microsoft OfficeCMatlabRDAXClassificationClustering

About

Senior Analyst with roughly 8 years experience in Product Analytics, Data Visualization and Analysis along with Predictive Modelling across B2C Product, Search Engine Marketing, Energy Industry and Retail, driving impact in achieving required business outcomes while leading teams with process and structure. Hands on experience with Python, Excel, SQL and Power BI with varying proficiency. Domain Experience of Product Analytics, Digital Marketing, Marketing, Sales, Energy HR and Retail(Demand).

Experience

9 yrs 9 mos

Total Experience

2 yrs 6 mos

Average Tenure

2 yrs

Current Experience

Jiohotstar

Senior Data Analyst II

May 2024 – Present · 2 yrs · Bangalore Urban, Karnataka, India · On-site

Swiggy

Senior Business Analyst

Jan 2022 – May 2024 · 2 yrs 4 mos · Bengaluru, Karnataka, India

Analytics

Hopscotch

Senior Business Analyst

Oct 2020 – Jan 2022 · 1 yr 3 mos

Analytics

Mu sigma inc.

2 roles

Apprentice Leader

Jan 2020 – Sep 2020 · 8 mos

Led a team for creation of Scenario Planning and Workforce Forecasting tool providing a Fortune 300 Energy Generator and Distributor's HR team with a cockpit to play out scenarios related to
asset/personnel changes or to address different workforce gaps like D&I and Compensation
enabling them for data driven financial and workforce planning based on future business outcomes with an understanding of its impact on workforce bottom line at a later stage while providing a synopsis of the current state.

Analytics

Decision Scientist

Jul 2016 – Dec 2019 · 3 yrs 5 mos

One of the Fortune 100 Technology Company's Search Engine Marketing Platform
Objective - Saving FTE hours by creating Rhythm of Business stream resulting in a Power BI Info hub which was consumed by decision makers, including C level, for insights
Details:
Allowed users across business functions like Sales, Marketing, Sales Excellence and Finance to observe advertiser patterns along with utilizing day level forecasts and Top Gainers/Decliners for resource utilization and course correct if necessary
Objective: Enable faster insights and quicker decision making by providing support to the Strategy and Insight team
Details:
Analysis across Customer Lifecycle and Tenure along with customer segments to identify patterns and trends across Performance, Key KPIs and Health Metrics
Objective: Working on the demand side of SEM with Marketing and Sales
Details:
Salesforce Effectiveness by measuring the impact of Sales effort based on dollar impact and ROI generated
Email Campaigns across customer lifecycle scaling based on results from AB Testing
Prioritization Frameworks allowing resource allocation based on current behavior and market potential
Churn Prediction based on customer behavior and understanding the dollar impact of the same
NBA across the tail and torso of the advertiser base for revenue growth along with being utilized as prioritization lens by different business functions