Headline

Marketing & Growth Analytics Lead | Driving Media, Consumer & Portfolio Decisions | Analytics, BI & AI Enablement

About

Marketing analytics professional with 7.5+ years of experience across FMCG, Pharma, and Technology, currently driving global marketing and business insights at Hindustan Unilever HQ. Experienced in translating consumer, media, and portfolio data into actionable growth and ROI decisions, supporting brand strategy, demand generation, and market-making initiatives across priority markets. Alongside marketing analytics depth, I bring strong end-to-end analytics ownership, including BI frameworks, automation, and AI-assisted insight enablement, helping organizations scale analytics adoption and improve decision velocity. Previously at EY, partnered with senior stakeholders to solve complex business problems through analytics-led recommendations, combining consulting rigor with hands-on execution. Open to leadership roles across Marketing Analytics, Growth Analytics, and Analytics Manager / Data & Insights Manager tracks, where data-driven decision-making, scale, and business impact are critical.

Location

Bengaluru

AI stack

claude code

claude

gemini

ChatGPT

Work experience

Assistant Manager at Unilever, Jun 2025 - Present · 1 yr 6 mos, Mumbai, Automation Pipeline End to End Dashboard Reporting for an entire Geography Combined Product Feature analysis of a product

Senior Consultant at EY, Sep 2024 - Jun 2025 · 10 mos, Bengaluru, Karnataka, India, Lead projects in Pharma FMCG Clients

Consultant at EY, Jan 2022 - Aug 2024 · 2 yrs 8 mos, Chennai, Tamil Nadu, India, Data Engineering and Modelling Team Management Data Science Marketing mix modelling Pricing analytics

Associate Consultant at EY, Jul 2021 - Dec 2021 · 6 mos, Chennai, Tamil Nadu, India, Data Migration Query Optimisation Automation

Business Analyst at Indus Net Technologies (INT.), Nov 2019 - Dec 2019 · 2 mos, Kolkata

Data Analyst at HiveMinds, Oct 2019 - Oct 2020 · 1 yr 1 mo, Bengaluru, Karnataka, India, 1. Descriptive Analysis. 2. API call from Google Search Console platform. 3. Fetching data from Google sheets and pushing to the database for a cron job. 4. Email Alerts using Python for data not present in GSheets. 5. Slack Incoming Data Notification using WebHooks. 6. Live Dashboards Building. 7. Sentimental Analysis of Mobikwik Google Playstore Comments. 8. Keyword Clustering using Topic Modelling and Scikit Learn LDA. Clients Handled: SEO (Dominos, Portea, Urban Ladder, Mobikwik, Gamezy, Savaari) Algorithms Used: 1. Naive Bayes 2. Linear Support Vector Machine and 3. K-means Clustering. Languages Used- 1. Python- Pandas,Numpy, Matplotlib, SqlAlchemy,Psycopg2, Json,Gspread, SMTPLIB,NLTK,RE,Spacy,Gensim, Google.Colab, Wordcloud, Sklearn, PyLDAvis, Plotly, H2O AutoML. 2. PostgreSQL.- Database CRUD operation. Tools Used- Excel- Vlookup, Pivot Table, Data Transformation. PowerBI- DAX for Import & Direct Query, PowerQuery. Google Cloud Platform- Pub/Sub, Scheduler.

Intern at Quiklrn, Jan 2019 - May 2019 · 5 mos, Bengaluru, Karnataka, India, TEXT CLASSIFICATION BASED ON MACHINE LEARNING ALGORITHMS USING NLP Data Preprocessing Feature Selection Classification. Tools Used- Python, MySql Algorithms Used- N-Gram and Naive Bayes, Logistic Regression. Research Papers Read- Text Classification using Naive Bayes Hiroshi Shimodaira and Semantic Text Classification with Tensor Space Model-Based Naive Bayes

Education

Master’s Degree, Computer Application, University of Hyderabad

Bachelor's Degree, Computer Application, Punjab technical university