Rishabh Sinha Email & Phone Number

Delhi, DL, IN

Noida, Uttar Pradesh, India

• Built and led deployment of price sensitivity, propensity and churn models across several business segments, employing Machine Learning algorithms such as XGBoost, GBM, etc. through Apache Spark using Python API.
• These models facilitated creation of sharper target customer groups for campaign initiatives, leading to 60-70% cost reduction on marketing and increased customer uptake by 15-25% QOQ.
• Delivered actionable insights processing complex datasets like customer journey funnels, transactions, geolocation and bureau data through effective communication with key stakeholders across various departments for.
• Mentored junior team members, contributing to their professional growth and development as successful data scientists.

Gurugram, Haryana, India

• Carried out exploratory data analysis and provided insights to CEO and senior management for strategy building and increased lead conversion rate by 35%.
• Facilitated enrichment and summarization of data using automated means and machine learning and made the whole targeting process faster by 60%.

Noida, Uttar Pradesh, India

• Conceived, conceptualized and engineered a data product platform from scratch using scraping bots and ML which generated millions in revenue per month upon completion by selling B2B enriched data to the clients for.
• Strategized with heads of different teams to make quarterly plans for data growth/accuracy through AI/NLP/Deep learning models and achieved 40% data growth and an increase in existing data accuracy by 25% QOQ.
• Led a team of 9 analysts and supervised data sourcing, profiling requests, and established structured timelines for delivery to the client.

Noida

• Conducted multiple corporate landscape research and website research for multiple countries guesstimating various aspects for developing our data product along with performing competitor analysis.
• Acted as a SPOC between R&D, business development, and data delivery teams.
• Managed data sourcing, profiling requests, and setup planned timelines for delivery.
• Automated processes to minimise manual interventions.

Delhi, India

1. Interviewing and hiring suitable people for the post of manager to handle the youth marketing campaigns and making sure everything is running smooth.2. Meet and greet with the client to know their vision better.3. Requirement gathering and shortlisting influencers according to the respective campaigns and their management.4. Connecting with the social.