Sasibhushan Muttada — Associate Partner

Product & Analytics Leader with 10+ years of experience driving data-led decisions that shape product strategy, enhance user experience, and improve business performance across mobility, consumer goods, telecom, and digital platforms across India & South East markets, and Indonesia and LATAM. At redBus, I lead data science & analytics to build scalable models and insights that directly influence product features and strategy. From reducing fraud by 20% to driving a 10% uplift via personalized recommendations in SEA, my work blends behavioral data, ML, and GenAI to boost user acquisition, engagement, and retention. I work closely with product managers, engineers, and designers to build and optimize user journeys, onboarding flows, and content systems. Notable wins include: 1. New user propensity model → 2.26% acquisition lift 2. GenAI-led review response → 12% drop in negative tags 3. 8% drop in new user onboarding drop-offs 4. Summarized review engine for operator insights 5. Scaled analytics team 5x and built a data-first culture Past roles at Cognizant, Accenture, and Tatvic included work in recommendation systems, segmentation, text analytics, and customer targeting. I’ve helped reduce customer queries by 35%, improved recommendation accuracy (precision ↑10%, recall ↑25%), and enhanced conversion and CTR in various digital platforms. With an MBA from IIM Ranchi and B.Tech from NIT Warangal, I bring strong cross-functional collaboration, analytical problem-solving, and product thinking. 🔍 Passionate about: → Building user-first, data-backed products → Applying GenAI for scale and insight → Empowering teams with actionable analytics 🛠 Skills: SQL(SQL Server, Amazon RedShift, Apache Iceberg, Redash, Druid,Imply ), Python (Pandas, Numpy), GA4, BigQuery, , Excel, GTM, A/B testing, SEO, Branch, ML models, Dashboard: Power BI, Looker Studio, Superset. SME in GA4 and bigquery

Stackforce AI infers this person is a Data Science and Analytics Leader in the Consumer Goods and Digital Marketing sectors.

Location: Bengaluru, Karnataka, India

Experience: 10 yrs 8 mos

Skills

Data Science
Analytics
Digital Marketing

Career Highlights

10+ years of experience in product and analytics leadership.
Successfully reduced fraud by 20% through data-driven strategies.
Scaled analytics team 5x, fostering a data-first culture.

Work Experience

redBus

Associate Director Analytics and Data Science (1 yr 4 mos)

Senior Manager Analytics and Data Science (2 yrs 10 mos)

Cognizant

Senior Analytics Consultant/Manager (10 mos)

Accenture AI

Data Science Consultant (1 mo)

Data Science Analyst (3 yrs 2 mos)

Tatvic

Customer Success Manager (2 yrs)

Gupta Power Infrastructure Limited

Business Analyst (6 mos)

TriveniFashions.com

Summer Internship as E-Retail analytics (1 mo)

Futurenow Innosoft

Intern (2 mos)

VISAKHAPATNAM STEEL PLANT

Intern (2 mos)

Education

Master of Business Administration (M.B.A.) at Indian Institute of Management, Ranchi

Bachelor of Technology (B.Tech.) at National Institute of Technology Warangal

M.P.C at sri chaitanya jr college

Mathematics at sri prakash vidyaniketan

Sasibhushan Muttada

Associate Partner

Bengaluru, Karnataka, India10 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

10+ years of experience in product and analytics leadership.
Successfully reduced fraud by 20% through data-driven strategies.
Scaled analytics team 5x, fostering a data-first culture.

Stackforce AI infers this person is a Data Science and Analytics Leader in the Consumer Goods and Digital Marketing sectors.

Contact

Skills

Core Skills

Data ScienceAnalyticsDigital Marketing

Other Skills

Amazon Web Services (AWS)Generative AIWeb AnalyticsTechnical SupportStrategic InsightsCommunicationGenerative AI ToolsContent Management Systems (CMS)Customer ReviewsPersonalizationFraud DetectionBusiness Performance ManagementBusiness LeadershipData-driven Decision MakingSQL Server Integration Services (SSIS)

About

Experience

10 yrs 8 mos

Total Experience

Average Tenure

4 yrs 2 mos

Current Experience

Redbus

2 roles

Associate Director Analytics and Data Science

Promoted

Feb 2025 – Present · 1 yr 4 mos · On-site

Leading the development of a Gen BI tool interface to ensure stakeholders have seamless access to actionable data in a simplified, user-friendly format.
Driving data-driven insights to inform and enhance product features in close collaboration with the product team.
Working in CRM & Customer Support Analytics, optimizing data workflows and using GenAI-powered classification and insight extraction to identify critical customer issues and support strategic improvements.

Amazon Web Services (AWS)Generative AIWeb AnalyticsTechnical SupportStrategic InsightsCommunication+6

Senior Manager Analytics and Data Science

Apr 2022 – Feb 2025 · 2 yrs 10 mos · On-site

Led the analytics charter across 3 Business Units spanning 8 geographies, managing a high-performing team of 6 analysts and data scientists. I was responsible for driving exploratory data analysis (EDA), building machine learning models, and partnering closely with product and marketing teams to translate insights into high-impact actions.
Key Highlights:
Customer Loyalty Program: Analyzed customer repeat behavior to design a loyalty framework, resulting in a 10% uplift in sales.
Data Optimization & Cost Savings: Reduced data infrastructure costs by 50% by eliminating redundant data and establishing streamlined, organization-wide data pipelines and visibility layers.
Dashboard & Reporting Governance: Led continuous monitoring and quality assurance of BI dashboards and reporting systems, maintaining issue rates below 5%.
Product Experimentation & A/B Testing: Collaborated with product teams to implement A/B testing frameworks and conducted impact assessments to guide product feature rollouts.
Affinity Modeling: Designed route and operator-level affinity analyses to identify high-potential areas for strategic deal placements.
Conversion Propensity Modeling: Built a new user conversion propensity model, enabling targeted discount strategies across cohorts and boosting conversion effectiveness.
Monetization via Ads: Developed the analytical construct to strategically position ads on search pages, directly contributing to new revenue streams.
Marketing-Focused Initiatives:
Targeted Audience Cohorts: Created segmentation models to identify and retarget high-potential user cohorts, improving engagement and conversion rates.
LTV & Churn Analysis: Conducted lifetime value (LTV) and churn analytics to evaluate user growth trajectories, enabling marketing teams to design timely interventions and personalized offers.
Additionally we added alerts to detect any anomaly in the system to identify quickly and inform all the stakeholders as a proactive measure

Fraud DetectionBusiness Performance ManagementBusiness LeadershipData-driven Decision MakingSQL Server Integration Services (SSIS)Data Science+40

Cognizant

Senior Analytics Consultant/Manager

Jun 2021 – Apr 2022 · 10 mos · Bangalore Urban, Karnataka, India

Consulting/Advisory in AI and Analytics for Consumer goods
Requirement gathering and preparation of functional & technical requirement specifications
Define methodologies, techniques, and scenarios for building a recommendation system
Achievements:
Built Recommendation system using Collaborative filtering and Ensemble algorithms to recommend products that can be scalable and sustainable for the long term.
Recommend products that generate more Revenue or value to the company
Increase the size of the basket recommended compared to previous.
Roles:
Build a library of models and documentation and reusable knowledge-base assets to produce consistent and streamlined business intelligence results.
Executed exploratory data analysis of risks and identify risk mitigation strategies.
Evaluate consistency and importance of different data sets
Recruit employees for the project team to foster division growth.
Work on AWS
Work with leadership for establishing a robust talent pool with a focus on people and continuous improvement.

Big DataConsumer InsightBusiness AnalyticsBusiness InsightsFast-Moving Consumer Goods (FMCG)Presentation Skills+4

Accenture ai

2 roles

Data Science Consultant

May 2021 – Jun 2021 · 1 mo

Developed NWS product for Accenture
Intelligent technologies like AI challenge the skillsets of today's workforce, but can also support the "new skilling" needed for growth
Leveraged AI and BigData for creating individually tailoring learning paths for workers and keeping people agile and business relevant.
Impact: 17% of the executives got upskilled for new roles and 43% require to upskill better for the next 3 years.

Data ModelingText ClassificationNeuro-Linguistic Programming (NLP)Data Science

Data Science Analyst

Mar 2018 – May 2021 · 3 yrs 2 mos

1. Manage, architect, and analyze big data to build data-driven business insights and high-impact data models to generate significant business value.
2. Designs Algorithms and Models to enable AI to use cases.
3. Examine and explore data from many disparate sources to discover insights and provide a competitive advantage for our clients.
4. Handling the team and delivering the projects as per the business need.
Skills: Python, R, PySpark, Hive (SQL), Power BI, Tableau, Flask, Rest API, time series forecastig.
Industry: Insurance, Banking, Telecom, Retail, HR
NLP Projects:
Categorization of using Topic Modeling,
Web scraping/crawling to fetch the Google search results, and news articles to fetch information
Sentiment Analysis and building word cloud, Text pre-processing
Figure out the biasing words that are present in the document using word embeddings like Glove, Word2vec.
In House Product:
Developed NWS (new workforce solutions) that will help companies reduce costs and show revenue generation.
NWS 2.0 is a multi-tenant web application and requires the workflows to be triggered based on Client scope
Blending new technologies (Ex: SQL Server, RedShift Server, Talend Server, Data Modeler) to enable end-user processing
HR Analytics Risk Modeling:
Developed an algorithm to recommend opportunities for employees to get exposure to roles that may help them to improve their skills for the next level.
Researched and created a distance measure for calculating the distance between two similar skills.
Built Text Analytics and improved match rate of 2 datasets.
Designed a WebApp using RESTful API with Python using Flask to showcase the Model
Project(US Largest Telecom Company):
Worked on customer chat analysis by using the topic modeling technique that required an extensive understanding of business requirements at each level of the cluster
Achievements:
Delivered End to End business solution which reduced the operation activities by 15%.

PythonRPySparkHive (SQL)Power BITableau+4

Tatvic

Customer Success Manager

Mar 2016 – Mar 2018 · 2 yrs · Greater Ahmedabad Area

Digital Marketing Consultant and Data Scientist by providing Analytics support in terms of analyzing Website and App traffic. Working on SEO to improve website ranking and credibility on search engines through back-linking and other activities
Responsibilities:
Data Analysis of Web Analytics and App Analytics
Hands-on Experience with GA360 and GA customers
Presented Successful training in Google Analytics, DataLayer Automation Tool, Google Tag Manager, Google BigQuery, Google DataStudio, Google Optimize
Design wireframes to perform the A/B test for new or existing features
Achievements:
Increased the traffic by 2% with the change in website structure
Increased conversion rate by 1.5% via A/B Test
Created powerful insights, visualizations by combining R and Google Analytics
Site Search Analysis provided the right set of keywords users do search on the website
Boosted 6% in conversion rate & 55% in CTR for mobile site optimization
Brought 10% Revenue discrepancy for Publishers by using GA 360 and DFP
predicted the customer satisfaction of an E-commerce using GLM model.
Data Science Projects:
Detect when a user is going to uninstall an App (India’s top app)
Predicted the probability of the users going to uninstall the App within next 10-15 days. Using machine learning technique and feature engineering to calculate variables to prediction the users.
Segmentation of users to do ad-targeting campaigns (India’s largest media)
Segment the users based on their behavior, geography wise, affinity interest to group them into one cluster to target them in the ad campaigns.
Built CRO dashboards that helps management to take decisions quickly
Demand forecasting for marketing campaigns (India’s largest media)
Worked on Forecasting hourly/daily/monthly users
Executed ARIMA time series models
Used forecasted demand to understand the number of users coming on to the site to read the articles

Data-driven Decision MakingTracking SolutionsDigital Marketing AnalyticsPresentation SkillsA/B TestingWeb Tracking+1

Gupta power infrastructure limited

Business Analyst

Apr 2015 – Oct 2015 · 6 mos · Bhubaneswar

Responsibility:
Production Planning and Control Execution for House Wire Division
Preparing Performa Invoice after receipt of order
Monitoring of production process and highlighting the bottlenecks
Creation of Sales order, maintaining views and checklist in SAP
Maintaining Material Master data in SAP
Follow up with Production, Dispatch & billing team for proper execution of orders
Preparing stock status sheets & pending for customers & stock transfer.
Achievements:
Strategy for Mapping for Odisha State, and Optimal Inventory Model.
Strategy for month-wise capacity planning, Production planning for 1 year
Identified Major gap in Sales helped in capturing untapped markets.

Trivenifashions.com

Summer Internship as E-Retail analytics

Apr 2014 – May 2014 · 1 mo · Greater Surat Area

Responsibility:
Sales Data visualization, Optimal Inventory Model, Vendor Rating, Product Clustering, Sales-Forecasting, Generating reports and Dashboard.
Data analysis using different statistical models like regression, ANOVA, classification algorithms, Clustering, time series analysis.
Achievements:
Increases sales by 7% over a 6-month period with the forecasting price model
Developed vendor rating and Order Cancellation to improve the efficiency.
Found right set of products which have similar characteristics by clustering.
Implemented Optimal Inventory Model to set the right inventory at stock points
Created Dashboards for weekly and monthly reports visualizations
Found gray areas in the product category to focus on a particular product sale.

Futurenow innosoft

Intern

May 2011 – Jul 2011 · 2 mos · hyderabad, India

Project Title: Developing new websites and deploying, as a startup company, Futurenow Innosoft
Project Deliverables:
1. Deploying the websites intime.
2. Delievering the website installations in the educational institutions
3. Testing activity was done, once it is deployed.
Key achievements:
1.By using new technology it was deployed in time and reached to many users around India.
2.Using Internet web Analytic's we got the users count and improving the strategy to increase the count.

Visakhapatnam steel plant

Intern

May 2010 – Jul 2010 · 2 mos · Visakhapatnam

Project Title: Network applications and sources of the networks, a premium Govt Sector Vizag steel plant
Description:
1. Learnt the methods of communication and what are the relevant parts required in the transportation between end users and how the traffic flow will be done.
2. Analyzed the specification of the language, design of lexical analyzer (scanner) and parser (syntax analyzer).
Learnings:
1. Professional in Networks design.
2. Documented database simulation and database storage.
3. Designed language according to the specifications, considering typecasting and scope of the variables.
4. Financial and database applications