Sharan Biradar Email & Phone Number

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

- Led the research & product development of our product for its futureproofing initiative (cookieless) and was successful in delivering the beta version of the new module. Achieved this in three crucial steps -i) Growing & mentoring a small data science team of 1 to 10+ folks by empowering them to useadvanced statistics in improving the range & quality of our pre-campaign insights and following bestscrum practices. Some of the innovative solutions that we created went on to win multiple awards.ii) Helping the product leadership to draft the strategic plan and validate the new prototype. It includedperforming market research, shedding more light using data in identifying critical user needs, andconvincing our stakeholders to get buy-in on the new prototypeiii) Empowering and guiding the design and engineering teams in building top-quality UX/UI wireframesand stable MVP, as team members were new to the team and worked remotely.- Worked with designers and engineers to deliver a critical feature enhancement to our custom-insightsmodule in Hub product. This enhancement solved the daunting problem of our users' inability toregulate data access to their client users. Achieved this by working with the BI & Engineering team toflesh out an innovative solution that solves the data-access problem. Furthermore, it also allows usersto upload dashboards with more than 1000+ filter values. This critical enhancement improved our NPSscore and helped scale up the adoption of our proprietary TV measurement solutions released later inthe year.- Worked with the BI & Data Engineering team to implement our product's usage metrics dashboard.Achieved the final result by diving deep into our mix-panel data, understanding the various nuances of itthrough data analysis, and guiding the teams to ensure the accuracy of the numbers in the dashboard.It is currently being utilized heavily by the product team to inform their hypotheses and report on theKPIs.

Bengaluru Area, India

- Worked with the PM, design, data, and software engineering teams to release the much-awaited Connected TV insights for our pre-campaign module. Was responsible for scoping, analysis, and user validation of the insights. It helped the company gain 10+ strategic clients with double-digit media revenue- Owned and delivered the migration of the entire Hub product's big data pipelines to the Qubole data lake platform. This migration led to a 30% performance gain and a 50% cost reduction. - Helped the PM scope out medium-scale features in an entirely new module. Was responsible for hypothesis validation, evidence gathering through user interviews, user-shared datasets, & mix-panel analysis, writing product specs, and working with engineering to ensure smooth execution. It led to the growth of the new module and helped increase adoption from 2% to 18% in the first year of the launch- Helped the commercial teams by delivering the white-label instances of our product for 4+ agencies. Was responsible for implementing the requirements from scratch, working with the engineering team to implement this framework, and helping the PM to create the necessary collaterals. It enabled our product to be responsible for double-digit revenue for the company through these engagements.- Worked with other teams' APMs/PMs in scoping, user validation, and implementation of channel-specific insights such as Offline Store-visits, Online product purchases, and TV OTT watch behaviours for our pre-campaign module. Within a year of launch, these features observed a net adoption of 45% from MiQ users and 28% from clients.- Owned and delivered three new market expansions of the pre-campaign insights of our Hub product in Singapore, Thailand, & Malaysia. Achieved this by mentoring the product analyst by helping him learnthe necessary big-data technology & product-specific analytical skills and working with the stakeholdersto ensure a smooth launch. It led to 10% new user adoption.

Bengaluru Area, India

- Driving the data-backed insights for the proprietary marketing intelligence platform using big data technologies (Hive, AWS) and domain expertise- Collaborating with stakeholders across the globe to educate, gather feedback, and improve the platform's functionality from a data perspective. - Single-handedly conducted a product review session with analysts within a few weeks of joining that later proved to be vital for the product roadmap- Used random sampling techniques to solve a long-standing problem of generic insights for entities containing large amounts of data. It made insights more relevant- Came up with an innovative solution for the tricky problem of separating brand names like Adidas and Puma from generic words like Sky, as they are all present in the English dictionary. Used Gutenberg collection and Google books dataset using both Hive & R to solve the problem- Improved the quality of keyword insights by coming up with an algorithm to detect and remove foreign language words using Python- Increased the relevancy of demography insights by coming up with a better way to summarize the results. It improved the accuracy of insights for important brands

Bengaluru Area, India

- Successfully managed media campaigns of two major agencies, Group M & Omnicom Media Group, in the ANZ market. Campaign achievements include maintaining revenue margins of 40-50% for campaigns whose monthly booking is AUD$40k+, creating decks with actionable insights that led to several repeat bookings, and two campaigns' up weights of AUD$20k+- Came up with a novel scoring algorithm to identify top attributes of the inventory for targeting and designed a workflow to automate the job. It removed the time spent on downloading the reports manually, collecting them together, and processing them in excel- Developed a BI dashboard that connects 10+ reports from 2 different data sources to generate automated insights. It cut down the insight creation time from 2 days to 10 minutes per campaign- Responsible for laying the foundation stone with fellow Senior Analysts for advanced analysis within the team for bespoke client engagements starting with popular brands like Iconic, Pfizer, Carnival Cruises (P&O), and AMEX. Analytical offerings, like value segmentation, market basket, website journey, and brand awareness measurement, were initiated for the first time, and this led to improved client engagements- Collaborating with sales and traders in Sydney and ensuring prompt delivery of insights, campaign management, and advanced analytical offerings like value-based segmentation- Unofficial mentor for interns. Gathered utmost pride in their work and ensured that they performed at the level of an analyst. 5/8 interns mentored went on to be star performers

Bengaluru Area, India

- Single-handedly managed media campaigns, whose combined monthly booking was AUD$50k+, in terms of targeting recommendations, spend optimizations and actionable insights’ generation in less than 3 weeks

Bengaluru Area, India

- Led a team that was responsible for performing segmentation & targeting, call planning, sales force alignment, and placements for one of the leading Fortune 500 pharma companies- Helped clients solve complex business problems and enabled easier decision-making through story-boarding, visualizations, and reports- Improved client call conversations and communication abilities across various accounts through the organization-level initiative called "Driving Better Conversations" consisting of a 12-member team, increasing client engagement by 40%

Bangalore, India

-Developed a prototype web app using Javascript to view and modify flow tables in a controller that supported open-flow protocol-Also used the D3js library to display the network consisting of switches and the controller-Trace route functionality was also implemented using the D3js library

Belagavi Area, India

- Was asked to suggest ideas about the company’s new plant- Found out a bottleneck in the plant’s packing process and suggested a way to improve the packing efficiency by designing an automatic packing machine using Auto Cad

Professional Certificate In Product Management, Product Management, 98%

Advanced Management Programme In Business Analytics (Formerly Cba), Data Science, 3.79/4 (Dean'S List, Rank 4)

Bachelor Of Engineering (B.E.) (Hons.), Electronics And Instrumentation

Education record

Education record

Education record