Jan 2015 – Jan 2018 · 3 yrs · Bengaluru, Karnataka, India

• Attained expertise in predictive modeling, including machine learning algorithms like Random Forest, Consumer Decision Tree, Bagging, Boosting, Market Structure, and A/B testing.
• Enhanced customer satisfaction by optimizing product development on Big Data platforms such as HIVE, SQL, JULIA, R, and Python within the Hadoop environment.
• Managed online product development, collaborating with cross-functional teams, including Statisticians and Data Scientists.
• Facilitated collaboration between onshore and offshore teams, streamlining the online product environment to capture survey data efficiently.
• Successfully transitioned significant Big Data R&D work to Bangalore GOC Operations, simplifying the extraction of reports from structured and unstructured data formats.
• Led high-performing teams of data scientists, Statisticians, and analysts in delivering advanced analytics projects, including A/B testing analysis, Market/Media Campaign Performance Analysis, Customer Segmentation, and Purchasing Pattern analysis.
• Drove business case and requirement definition through regular reviews and controls to ensure alignment with the envisioned solution.
• Designed and developed a comprehensive Media measurement solution, encompassing Point-of-Sale, Household Panel, Survey, Frequent Shopper data (FSP), Digital and TV exposure, and leaf-level demographic data.
• Directed project management activities, overseeing analysis design, development, testing, and deployment, with a specific focus on Media measurement and Custom Survey Analytics.

Jan 2012 – Jan 2015 · 3 yrs · Bengaluru, Karnataka, India

• Within my role, critical outcome metrics for user-centric products are defined and measured. Experiments are conducted to enhance product adoption and targeting effectiveness, leveraging statistical methods and machine learning to drive informed product decisions.
• Deeper insights into adoption and engagement are gained through the design of datasets.
• Collaborative efforts with cross-functional teams are prioritized to identify key data science projects. This role also encompasses the construction of scalable automation solutions using SQL, Python, and visualization tools, and the resolution of challenges to facilitate the development of new product capabilities.

Jan 2010 – Jan 2012 · 2 yrs · Bengaluru, Karnataka, India

• Bringing a background rich in data mining and statistical analysis, offer expertise across a spectrum of data-related tasks.
• Custom data models and algorithms are developed for specific datasets, and ad-hoc analyses are conducted, with findings presented clearly. The role includes the management of automated anomaly detection systems, with a strong command of data mining and analysis from databases, driving improvements in product development, marketing strategies, and business tactics.
• Predictive modeling plays a pivotal role in enhancing customer experiences, revenue generation, ad targeting, and other business outcomes using statistical computer languages like SAS, R Programming.

Jan 2007 – Jan 2010 · 3 yrs · Bengaluru, Karnataka, India

• In charge of devising and delivering comprehensive analytics solutions in the Consumer Packaged Goods (CPG) sector. This encompasses a wide spectrum of areas, including Marketing campaign analytics, New product launch volume source identification, Consumer switching analysis, Ad campaign effectiveness testing, Pricing analytics, Survey analytics, Product Attribute drivers and Shopper analytics, all expertly executed using the SAS programming language platform.

Jul 2006 – Dec 2006 · 5 mos · Trivandrum

• Conducted comprehensive research-focused projects, involving the systematic collection of field data. This data was then subjected to meticulous analysis, and the findings were subsequently disseminated through publications in reputable journals, particularly in the domain of CDS articles.

Jan 2005 – Jan 2006 · 1 yr · Cochin Area, India

• Offered robust analytical support utilizing sophisticated tools such as SAS, MINITAB, and SPSS to both undergraduate and postgraduate students embarking on their academic projects. Additionally, I extended this support to faculty members engaged in the development of their theses and research initiatives, ensuring the highest quality of analysis and insights for each project.