Shankara Varshith S Email and Phone Number
Involve in the end-to-end lifecycle of AI/ML projects, building IPs and Analytics solutions to enterprises. Key domains I work in includes business analytics, decision science, data visualization & report building for senior management, stakeholder management and ad-hoc processes to influence decision making.I hold an experience of 5 years in AI/ML workflows, with a good proficiency in python, SQL, RDBMS, Big Query, GDS, Tableau, PowerBi, Hubspot, Salesforce and Stitch data (ELT tool).My key strengths will include working well under pressure, conducting extensive research, team management, providing meaninful insights to executives, sticking to tight deadlines and driving results. I've upheld key responsibilities in handling 8+ Analytics projects across industries both as an Individual contributor and as a project lead. My key areas of work involves planning the data architecture, setting up data pipelines, performing extensive research and analysis, building AI/ML Models and deploying them in cloud/on-premise infrastructures, and building executive dashboards.Further, I've built and managed a handful of AI tools, coordinating a team of Data scientists, and developers, which is extensively consumed for critical business purposes to accelerate lead generation.
Fairmoney
View- Website:
- fairmoney.ng
- Employees:
- 1125
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Business Product Manager - PaymentsFairmoneyBengaluru, Ka, In
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Senior Business AnalystFairmoney Sep 2023 - PresentBengaluru, Karnataka, India- Data-Driven Strategy: Leveraged data analytics to drive strategic decisions and identify growth opportunities.- Process Optimization: Streamlined operations, reducing costs and improving efficiency through process enhancements.- KPIs & Business Metrics: Defined key performance indicators (KPIs) and metrics to measure business performance, and regularly reported on progress to senior management.- Project & Risk Management: Evaluated and managed financial projects, their risks, to ensure compliance with regulatory requirements and industry standards.- Stakeholder Collaboration: Collaborated with cross-functional teams to align business goals with technical solutions
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Business AnalystFairmoney Apr 2023 - Sep 2023Bengaluru, Karnataka, India• Responsible for assessing opportunities, understanding behaviour, testing hypotheses with data analysis.• Forecasting and scenario planning to create a data-driven performance from historic and current data.• Developing SQL code/Python scripts to interrogate operational data to solve key business problems.• Communicate analysis, relevant trends and operational performances to internal as well as external stakeholders across the business.
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Business AnalystTenzai Systems Aug 2021 - Mar 2023Bengaluru, Karnataka, India• Handle the end-to-end life-cycle of AI/ML projects as an individual contributor, which involves working on diverse analytical platforms, tools and technology stacks in both structured and unstructured data• Work with on-shore and off-shore clients to understand their business problem, and work towards solution delivery• Perform in-depth analysis, gather insights and present the findings and key KPIs in form of analytics dashboards to help business users make informed decisions• Lead a team of Data scientists and Analysts to ensure proper alignment, and on-time delivery of Analytics projects• Perform extensive Market research, prepare documentations and client decks to facilitate marketing and pre-sales activities• Trained more than 5 Data Analysts & Scientists in Data processing, Data visualization tools, techniques and other technology stacks• Involved in the research and development of 2 analytics products that is completely built in-house -
Ml-Data AssociateAmazon Development Center Jul 2018 - Jul 2021Chennai, Tamil Nadu, India• Collaborate with a cross-functional team in handling multiple data-driven core operations with critical importance• Run statistical tests to determine the success ratio of the product’s performance• Involve in various stages of data preparation for Text, Speech and Sentiment analysis• Inspect raw data to gain insights for better data handling and performance enhancement• Regulate daily meetings with internal and external customers -
Project TraineeIsuzu Motors India Private Limited Mar 2018 - May 2018Andhra Pradesh, India• Worked as a Engineering Project Trainee in Izuzu motors, Sri City, involving in processes of Automotive Paint shop, Testing and Assembly bay• Worked alongside G.E.Ts' in design modification and CAD modelling to achieve commonization of Jigs used for rear and front bumpers• Documented different workflows, its involved iterations, and presented process improvement ideas to the management• Performed layout modification using six sigma concepts to optimize space utilization in work area, and food court• Assisted Deputy manager in his day to day professional responsibilities -
Engineering InternTitan Company Limited Jun 2017 - Jul 2017Hosur, Tamil Nadu, India• Observation of work floor and processes in Titan Precision Engineering plant• Identify production set-backs, and present improvement ideas• Collaborate with Mechanical and Electrical engineers to come up with process layout for an upcoming project• Involved with Mechanical designing and Product testing departments to assist their day-to-day deliverables
Shankara Varshith S Education Details
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Data Science -
First Class
Frequently Asked Questions about Shankara Varshith S
What company does Shankara Varshith S work for?
Shankara Varshith S works for Fairmoney
What is Shankara Varshith S's role at the current company?
Shankara Varshith S's current role is Business Product Manager - Payments.
What schools did Shankara Varshith S attend?
Shankara Varshith S attended Deakin University, Northwestern University - Kellogg School Of Management, The University Of Texas At Austin, Srm University.
Who are Shankara Varshith S's colleagues?
Shankara Varshith S's colleagues are Esv Saad Abdulfatah Anivs, Rsv, Stella Madu, Olalowo Mubarack Tahir, Ajibola Samuel, Roseline Ezekiel, Raymond Thompson, Ogundepo Temitope.
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