Atish Sharma

Product Manager

Bangalore, Karnataka, India6 yrs experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in architecting data-driven solutions.
  • Proven track record in fraud prevention at Google.
  • Led impactful analytics projects in Fintech and Media.
Stackforce AI infers this person is a Data Science and Analytics expert in Fintech and Media industries.

Contact

Skills

Core Skills

Data ScienceAnalyticsMarketing AnalyticsGrowth AnalyticsProduct AnalyticsData AnalyticsBusiness AnalyticsMarket Research

Other Skills

A/B TestingAirflowAnalytical capabilitiesAndroidAppsFlyerAutomationBusiness DevelopmentBusiness StrategyC (Programming Language)C++Customer SegmentationDashboardingData VisualizationDatabricksETL

About

Atish is a seasoned Analytics and Data Science professional who specializes in architecting data-driven solutions for high-growth technology sectors. With a proven track record over 4 years, he currently operates at the forefront of Trust and Safety at Google, where he develops sophisticated models to mitigate abuse and fraud on a global scale. Prior to his role at Google, Atish was pivotal in shaping product and marketing strategies across the Media and Fintech industries. He built the Growth and Marketing Analytics functions at Pocket FM and led initiatives that transformed user investment behaviours at the neobank, Jupiter Money. His career began at Retailio (PharmEasy), where he developed a strong expertise in Brand Monetization, Sales, and Fintech analytics within the B2B e-commerce landscape. Education: Bachelor’s of Engineering in Computer and Electronics Engineering (2021) from Thapar Institute of Engineering and Technology, Patiala, Punjab.

 Technical Skills: * Databases: BigQuery, Databricks, Amazon Redshift, MySQL, PostgreSQL, Hive, Presto * Python: Exploratory Data Analysis (EDA), Machine Learning, Automation, Scripting * ETL: Airflow, DBT, Jenkins * Data Modelling: Star Schema, Data Marts, Scalable Data Pipelines * Business Intelligence: Tableau, Metabase, PowerBI, QuickSight * Product Analytics: Amplitude, Mixpanel, Eppo (AB Test tool) * Marketing and Advertising Tools: AppsFlyer, Advanced Analytics by Meta, Ads Data Hub by Google * Other Tools: Jira, Confluence, Postman, Microsoft Office (Excel, PowerPoint, Word), Google Sheets * Methodologies: Agile, Scrum

 He is passionate about Data Analytics, Product Analytics, Business Analytics, and Data Science. He is dedicated to continuously learning and developing new skills.
 Resume: https://drive.google.com/file/d/19rLR2mjdYEIONPVE-2DyakczHXE5wPAc/view?usp=drive_link Let's Connect: * Networking and Career Guidance: Book a session on Topmate (https://topmate.io/atish_sharma) * Startup Consultation: Helping budding startups refine their ideas and improve their products. Book a session on Topmate (https://topmate.io/atish_sharma/896947) * Always open in exploring new opportunities

Experience

Google

Trust and Safety Analyst

Jun 2025Present · 9 mos · Bangalore Urban, Karnataka, India · Hybrid

  • Detecting, Mitigating and Preventing Fraud and Abuse across different Google products using GenAI, Data Science and Analytical capabilities
GenAIData ScienceAnalytical capabilitiesAnalytics

Pocket fm

Senior Analyst

Jun 2024Jun 2025 · 1 yr · Bangalore Urban, Karnataka, India · Hybrid

  • Led Growth & Marketing Analytics for Pocket Toons (Comics App), built 0 —> 1 in analytics for US market, cut app launch time by 50% (6 months -> 3 months) and successfully scaled it worldwide
  • Optimised CPI & ARPU metrics for Pocket FM Audio business by building growth models & conducted deep RCAs to improve marketing campaigns efficiency
  • Built a workaround performance marketing signal tracking across Appsflyer, Firebase & Meta, boosted ROAS campaigns performance by 80% and implemented automated alerts to detect any future discrepancies
  • Mentored & coached 2 product analysts, helped them grow their analytical and problem-solving capabilities in analytics
  • Developed a framework using pre-install funnel data from Meta’s Advanced Analytics & Google’s Ads Data Hub, identified when a campaign exit the learning phase & stops delivering incremental reach, plotted diminishing returns, lead to 10% reduction in monthly marketing spends, automated the complete process by building scalable data pipelines on Databricks and Airflow
  • Enhanced marketing data visibility by analyzing adset & ad-level data, reduced overlap across campaigns & influenced Growth & Business team to consolidate adsets, optimise spends & incremental reach across campaigns through QuickSight dashboard
Growth AnalyticsMarketing AnalyticsDatabricksAirflowAppsFlyerFirebase+2

Jupiter

Data Analyst

Aug 2023Jun 2024 · 10 mos · Bangalore Urban, Karnataka, India

  • Built end-to-end Analytics for Investment Products at Jupiter Money.
  • Launched Magic Spends product to drive business for Mutual Funds and Digital Gold, identified early adopters, strategized offerings based on user cohorts and designed A/B experiments (Media Coverage: https://economictimes.indiatimes.com/tech/technology/jupiter-money-launches-new-savings-feature-for-millennial-users/articleshow/110270833.cms)
  • Built RFM model and customer segmentation model to understand user propensity towards various investment products (mutual funds, digital gold, fixed deposits, recurring deposits, invest as you pay)
  • Led Traffic Attribution project that enhanced marketing campaign analysis by standardizing deep-link parameters, resulting in a 15% ROI increase and a 90% improvement in traffic attribution accuracy.
  • Identified the need of "Modify SIP" product feature in DIgital Gold, where 78% of users showed the tendency to modify Digital Gold SIPs within 2 days, which created an impact of a 10% reduction in SIP cancellation rate and a 5% increase in user retention
  • Developed an 80% accurate data model detecting penalty-paying users on missing Mutual Funds SIPs. Achieved 1.5% increase in conversion rate, ₹2 lakh in order value within 2 weeks, and implemented WhatsApp outreach campaign to prevent SIP penalties.
  • Improved Trigger Rate metric in Mutual Funds by 6 bps, by suggesting daily re-triggering of orders to reduce skipped orders. This led to a 5% increase in daily orders, 3% increase in average bank balance, and a 6% revenue boost for the Mutual Funds business
  • Developed robust ETL processes to extract, transform, and load transactional data from various databases (MySQL, Postgres) into a centralized data warehouse on AWS Redshift, facilitating advanced analytics and reporting.
  • Optimized SQL queries and partition strategies on the data warehouse, improving query performance by 40% for critical financial reporting processes.
AnalyticsA/B TestingCustomer SegmentationETLSQLProduct Analytics+1

Pharmeasy

2 roles

Business Analyst

Promoted

Oct 2022Aug 2023 · 10 mos · Bangalore Urban, Karnataka, India

  • Promoted to Business Analyst from Data Analyst within 1 year, delivered high impactful projects and identified potential revenue streams
  • Partnered with 15+ stakeholders across business, tech, marketing, product, sales, and operations to build analytics expertise and strengthen stakeholder management abilities.
  • Automated 70% of tasks, reducing turnaround times and lowering bandwidth requirements by 50%.
  • Transitioned from a 2-person to a 1-person workload through automation. Contributed to 26% MoM GMV growth for monetized brands.
  • Decreased data request frequency by 50% through dashboarding and automation. Reduced daily requests from 5-6 to 3-5 weekly requests post-implementation.
  • Provided monthly insights, analysis, and recommendations on Private Label and other categories (Generics, Surgicals, OTC) businesses in MBRs. Strategic insights contributed to business growth.
Stakeholder ManagementAutomationDashboardingBusiness Analytics

Data Analyst

Oct 2021Sep 2022 · 11 mos · Bangalore Urban, Karnataka, India

  • Identified business needs and developed strategies to solve problems in India’s largest B2B e-commerce healthcare startup: PharmEasy (Retailio, Ascent Health and Wellness, Healthiviti).
  • Designed and implemented key performance reports to convey metrics, monitor service levels, identify trends, and perform root cause analysis for stakeholders across business units.
  • Automated retailer data clustering using fuzzy logic and designed algorithm to achieve one enriched record per retailer. This reducing manual efforts by 80%.
  • Resolved inaccurate GSTIN data by developing algorithms to identify valid numbers for 70K+ retailers.
  • Developed SQL queries to predict scheme end dates, flag active schemes, and quantify retailer savings, reducing missed schemes and saved ₹200k/month.
  • Built logic to quantify platform savings for retailers, enhancing retention with monetary value visibility on Retailer homepage.
  • Built loyalty program analytics to track progress, analyze impact on daily GMV, and generate leads from clickstream data, helping successfully expand the program pan-India
  • Created Tableau, Power BI, and Excel reports to extract metrics and present concise insights to product, business, sales and marketing teams across business units.
SQLData VisualizationAutomationData Analytics

Samsung r&d institute india

2 roles

Research Engineer

Jul 2021Oct 2021 · 3 mos · Noida, Uttar Pradesh, India

  • Continued full-time for 3 months post ML internship, receiving pre-placement offer.
  • Applied expertise in data analytics, ML modeling, and Android development.
  • Gained hands-on experience with industry leader's R&D processes and emerging technologies.
  • Contributed to core team that designed WiFi for Samsung M series.
  • Assisted in resolving mobile hotspot and Wi-Fi issues.
  • Identified and debugged software issues.
  • Documented technical workflows and created knowledge transfer modules for new hires.
  • Reported project status and milestones to supervisor.
Data AnalyticsMachine Learning

Research Intern

Jan 2021Jun 2021 · 5 mos · Noida, Uttar Pradesh, India

  • Analyzed large audio datasets using preprocessing techniques for 6 months as ML Intern in the WiFi team of SRI-N
  • Designed ML model to extract keywords and summarize call history for linguistic analysis.
  • Developed end-to-end Android application to display call summaries.
Data AnalyticsMachine Learning

The global education & leadership foundation (tgelf)

Project Intern at Entrepreneurship World Cup, India

Jun 2019Aug 2019 · 2 mos · Gurgaon, Haryana, India

  • The Global Education & Leadership Foundation (tGELF) is a non-profit that seeks to identify and nurture leadership skills in individuals who are rooted in the values of ethics and altruism, and have a bias for action. tGELF was officially inaugurated in 2008 by the then Prime Minister of India, Dr Manmohan Singh.
  • What I did as an Intern?
  • Led 4 out of 7 regional competitions in Mumbai, Srinagar, Raipur, and New Delhi, supervising national finals with 250+ global audience as head intern.
  • Networked with 100+ top Indian startups and screened 50K+ applications with a 6-member team to boost outreach across 100+ colleges.
  • Developed strategies under LDP's guidance to increase event reach and exposure.
  • Collaborated with leading PR agency Wizcraft India and esteemed guests including government officials and entrepreneurs.
  • Supervised regional events end-to-end, liaising with startups, venues, vendors, and marketing teams to ensure smooth execution.
  • Showcased top Indian startups and enabled global exposure through EWC platform. Strengthened ecosystem relationships through startup networking.

Red bull

Student Marketer

Apr 2019Dec 2020 · 1 yr 8 mos · Chandigarh, India

  • Red Bull Student Marketeer Program, since 1987, has been giving Wings to students, the opportunity to gain valuable professional experience and have a great time while doing it!
  • Student Marketeers are in direct contact with various consumers and customers, inviting product trial, helping establish Red Bull consumption in diverse occasions, supporting the sales teams, working with renowned athletes and ensuring an unforgettable brand experience for consumers at Red Bull events.
  • What I did as SBM?
  • Supervised marketing activities across 4 colleges, boosting sales 30% YOY by supporting key events and tracking market trends.
  • Generated opportunities to build brand profile and credibility among students on and off campus.
  • Invited product trials, established consumption occasions, supported sales teams, and created unforgettable brand experiences for consumers at Red Bull events.
  • Created new consumption situations and coordinated on-site and off-site activities to integrate Red Bull into student lifestyles.
  • Designed and executed strategies to associate with events, colleges, corporates, and sports for branding, positioning, and commercial wins.
  • Collaborated with opinion leaders to increase product visibility and word-of-mouth among target consumers.
  • Activated the brand during COVID-19 by organizing creative hacks titled "Best Practice" by Red Bull Global, generating 1M+ views via digital and offline.
MarketingSales

Inkpothub

Market Research Intern

Jan 2018Jun 2018 · 5 mos · Patiala, Punjab, India

  • Inkpothub is an education-oriented, skill-based networking platform for professors, researchers, and students. It would not only revolutionize the way researchers organize their research, share knowledge,- and collaborate but would be a marketplace for professors to find the right fit for research projects and students the finest mentors
  • What I did as an Intern?
  • Developed primary and secondary research strategies to increase product reach among 5000+ students and professors. Visited 20+ colleges/events and conducted workshops.
  • Performed market analysis and optimized pricing of subscription services for undergraduate students.
  • Worked on overall venture growth with CEO, learning how to pitch products to VCs.
  • Conducted field visits and workshops to demonstrate product and acquire users.
  • Analyzed competitor offerings and crafted strategies to position unique value proposition.
  • Collaborated with leadership team on growth planning, financial modeling, and fundraising pitch decks.
  • Gained firsthand experience supporting an early stage startup, wearing multiple hats in a fast-paced environment.
Market ResearchStrategy Development

Education

Thapar Institute of Engineering & Technology

Bachelor's degree — Computers and Electronics Engineering

Jan 2017Jan 2021

Vibrant Academy, Kota, Rajasthan

Jan 2016Jan 2017

Angel's Public School, Pathankot, Punjab

Mathematics — Physics and Chemistry

Jan 2015Jan 2016

Modern Sandeepi School, Pathankot, Punjab

Mathematics — Physics and Chemistry

Jan 2014Jan 2015

Angels Public School, Pathankot, Punjab

High School

Jan 2009Jan 2014

Lord Jesus Public School, Gurugram

Jan 2002Jan 2009

Stackforce found 100+ more professionals with Data Science & Analytics

Explore similar profiles based on matching skills and experience