Oct 2023 – Feb 2024 · 4 mos · On-site

Apr 2020 – Oct 2023 · 3 yrs 6 mos · On-site

• As the Leader of CoE Analytics practice, I am passionate about driving new growth through innovative offerings. With a proven track record as a Growth Hacker, I take a strategic approach that spans from tactics to operations.
• In the past, I have successfully bootstrapped and led new Healthcare Analytics and Marketing Analytics practices, achieving significant revenue growth of 3 times in just three years. I take pride in creating multiple cutting-edge offerings, such as AI@Scale, Adaptive AI, Decision Intelligence, and Responsible AI.
• My expertise covers the full job lifecycle, from offering creation to thought leadership to go-to-market strategy, presales, and delivery. As a member of the CTO council, I play a critical role in creating market-aligned offerings and designing learning paths that transform talent and pave new growth paths for the organization.
• With a keen focus on innovation and growth, I am committed to driving measurable results and delivering value to customers.

Jan 2023 – Present · 3 yrs 2 mos · Hybrid

• Advisor for Business Analyst program.
• Mentoring : Business Strategy, Analytics and Domain/Industry Alignment

Aug 2019 – Mar 2020 · 7 mos

• We designed and developed a powerful recommendation engine and personalizer that helps users discover new content and enhances their viewing experience. Leveraging advanced machine learning algorithms and data analytics techniques, we wereable to create a system that delivers highly personalized recommendations based on user preferences, viewing history, and other relevant factors.
• The recommendation engine and personalizer have been instrumental in driving engagement and retention on the Voot app, and have received positive feedback from users. By continuously analyzing user behavior and feedback, We have been able to optimize the system and improve its performance, delivering even more accurate and relevant recommendations.

Mar 2018 – Aug 2019 · 1 yr 5 mos · Bengaluru, Karnataka, India

• Led team for AI-related initiatives on deep learning, NLP, and image processing.
• Leader for growth hacking with new offering creations.
• Led projects in Insurance, electric car racing & CPG domain

Feb 2017 – Mar 2018 · 1 yr 1 mo · Bengaluru, Karnataka, India · On-site

• As founding member of CTO-Analytics team, I played a pivotal role in driving the success of the AI practice in the CTO office. My expertise in ML, NLP, and image processing allowed me to develop and mentor various AI-based projects that generated significant value for the organization.
• In my capacity as a leader, I was responsible for engaging with sales and clients, contributing to RFI/RFP/RFS, and leading the team through the entire process from problem identification to deployment. I utilized my skills in task planning, team allocation, development and coding, mentoring and tracking, and demoing to clients to ensure the success of each project.
• Through my leadership, I gained extensive knowledge and experience in best practices for AI-based projects, from the early stages to future value generation. My expertise in deep learning, NLP, and image processing was instrumental in delivering successful projects that exceeded client expectations and contributed to the growth of the organization.

Mar 2015 – Feb 2017 · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

• As an experienced AI leader, I have successfully implemented various AI-based projects, including log analysis using linear regression techniques and text mining to establish the relationship between various modules and memory leaks. Through root cause analysis, these efforts led to significant improvements in product performance.
• Leveraging text mining and classification techniques such as Latent Dirichlet Allocation and SVM, I led the development of an automatic classification system for helpline tickets. As a result, 90% of ticket assignments were automated, saving considerable manual effort and eliminating monotonous tasks.
• In addition to these efforts, I spearheaded the development of an automated log analysis system using text mining and classification techniques. The application accurately classifies machine-learning analysis to categories, ranging from strongly-correct to need-further-manual analysis, to create a more robust system.
• By utilizing historical analysis techniques such as tf-idf and k-nearest neighbor algorithm, I led my team to fast solve bugs and duplicate issues, resulting in a streamlined development process.
• As a leader, I successfully managed a team of five people to carry out multiple product development activities on STB, including feature development activities. Through my leadership, we were able to deliver high-quality products on time and within budget.

Apr 2012 – Feb 2015 · 2 yrs 10 mos · Bengaluru, Karnataka, India

• Worked on Next Generation sling products and analytics of it.

Jul 2011 – Apr 2012 · 9 mos · Bengaluru, Karnataka, India

• Working on Place shifting technologies.

Dec 2010 – Jul 2011 · 7 mos · Bengaluru, Karnataka, India

• Set top boxes, C, C++, Linux.
• Contributed in middleware features like cinemanow, USB explorer, Live streaming etc.

Mar 2008 – Nov 2010 · 2 yrs 8 mos

• STB/DTV, C/C++, Linux. Position included some of the mentoring activities along with the design and coding. Settlement from all software stack to expertise on middlewares.

Mar 2006 – Mar 2008 · 2 yrs

• STB/DTV, C/C++, Linux