Sidhartha Dash
Hyderabad
Summary
- Seasoned with 15 years of experience in data analytics, data visualization, and machine learning across diverse domains such as Supply Chain, CPG, Banking, and Financial domain.
- Solid experience in leading high-performing teams to deliver data products and actionable insights that drive business growth and innovation.
- Proficient in Python, Spark, SQL, Tableau, Power BI, and classic ML and deep learning models, with extensive working knowledge of Azure cloud.
- Adept at designing, building, and evaluating ML models that deliver tangible results.
- Excellent experience in cross-team collaboration, with a wealth of experience in communicating directly with senior leadership and business stakeholders to drive alignment and achieve strategic objectives.
- Experienced in building and nurturing data science/analytics teams from scratch, fostering a culture of excellence and innovation that drives growth and success.
Overview
16
16
years of professional experience
Work History
Specialist Data Scientist
Kimberly Clark
12.2021 - Current
- Played a key role in crafting a cutting-edge analytics tech stack on MS Azure, enabling seamless hosting of SAP data extracts for data analysts and scientists to leverage in their work.
- Led the successful implementation of a game-changing product allocation optimization algorithm, leveraging customer segmentation, in-yard inventory, and in-bound stocks to generate cost savings of approximately $2.4 million in OTIF fines over three years.
- Oversaw a team of 6 talented engineers in developing and deploying an advanced chatbot solution, harnessing the power of React JS, Open AI's LLM APIs, and Langchain technology to deliver unparalleled customer service and support.
- Designed and architected a sophisticated bidding score system to evaluate 90+ carriers and shippers across 6 lanes based on performance metrics and bidding prices, streamlining the process of selecting the best-suited carriers for each shipment.
- Conceived and executed a highly effective truckload optimization model to distribute pallets across containers, resulting in an estimated savings of over 160 man-hours per week.
Lead Data Scientist
Franklin Templeton
07.2018 - 12.2021
- Nurtured a top-performing team of data analysts and scientists from the ground up for US analytics operations, fostering a culture of excellence and innovation.
- Pioneered the development of a cutting-edge conversational AI-based voice agent using Amazon Alexa for US retail sales, earning global recognition by winning a prestigious hackathon competition.
- Led the successful creation of an in-house Personalized Contacts Model that revolutionized the sales strategy of 90+ financial advisors, enabling them to optimize customer targeting and deliver bespoke product recommendations.
- Spearheaded the integration of H2O (low code auto ML) into the existing technical stack, empowering 30+ business users to create powerful ML models with ease and efficiency.
- Collaborated with a team of data architects to oversee the seamless migration of data from SAS to MS Azure platform, ensuring a smooth transition and minimal disruption to business operations.
- Equipped 30+ staff engineers with cutting-edge skills in Machine Learning and Optimization algorithms through an intensive 3-month-long classroom training program, driving innovation and growth across the organization.
Senior Analyst
Bank of America
07.2014 - 07.2018
- Developed a cutting-edge customer 360 degree data-mart on Hadoop platform, providing comprehensive NPI and financial attributes of credit card customers for chatbot consumption.
- Orchestrated a team of 8 skilled data engineers and 3 data scientists to develop and deploy multiple machine learning and deep learning models for predictive customer insights in the Erica chatbot, driving innovation and growth.
- Crafted a custom model using Regex and Spacy to redact sensitive customer information from Outlook messages with 92% accuracy, ensuring secure sharing of data with external vendors and compliance with data privacy regulations.
- Designed and launched an innovative data profiling tool to automate data discovery tasks and generate data quality reports, streamlining the process of data exploration for ML models and saving over 20 hours per week.
- Conducted customer segmentation through K-means and Gaussian mixture models, enabling personalized marketing campaigns and driving a 4% increase in customer engagement and ~$160K realized cost saving in campaign expenses.
Analytics Consultant
Genpact
06.2013 - 07.2014
- Implemented a robust and scalable Tableau architecture, integrated with the Hadoop platform, to enable seamless access to large data sets for advanced data analysis and insights.
- Wrote optimized hive queries with Java-based UDFs to replace the pig scripts supporting 30+ operational tasks, resulting in an estimated 9 hours of weekly savings in process execution time.
- Managed the migration of 60 reports from SAP BO/Cognos to Tableau, introducing robust validation procedures to guarantee accuracy and completeness of data, and automating repetitive data exploration tasks for substantial time and cost savings.
- Conducted comprehensive training on Hadoop distributed computing and Tableau development for a batch of 30 fresh recruits, driving growth and innovation across the organization.
Associate Process Manager
eClerx Services
05.2011 - 06.2013
- Managed a team of 9 skilled Data Analysts/Sr Analysts, delivering prescriptive and predictive analysis across 3 marketing portfolios with precision and excellence.
- Led the end to end development of an enterprise development of product analytics dashboard for Adobe in SSIS and Tableau.
- Data Analysts, delivering prescriptive and predictive analytics projects across 3 marketing portfolios with precision and excellence.
- Developed a customer attrition model for a leading mobile insurance industry player using Logistics Regression, accurately detecting dormant customers on the verge of attrition with 82% accuracy.
- Collaborated with cross-functional teams to translate customer insights into actionable product features and modifications, resulting in improved customer engagement and an increased retention rate of 6%.
Associate Software Engineer
Accenture Services
10.2008 - 07.2010
- Implemented cutting-edge automation solutions using Microsoft BI technologies, reducing manual data processing time by 40 hours per week, enabling real-time data insights and faster decision-making
- Successfully executed 3 end-to-end deployments of BI projects, leveraging the full Microsoft BI stack (SQL Server, SSIS, SSAS, SSRS), delivering financial analysis, dashboards, and predictive analytics, enhancing client decision-making, and driving significant business value
- Served as a subject matter expert for Microsoft's business applications, transitioning the end-to-end project of maintenance of 14 SSRS dashboards to external vendors, ensuring seamless continuity of operations.
Education
Post Graduate Program in management - Business Statistics, Operations Research, Systems and Business Intelligence
Europe Asia Business School
Pune, Maharashtra05.2011
B.Sc. IT and Management - Computer Networking And Software Design
Ravenshaw University
Cuttack, Odisha06.2008
Skills
- Machine Learning
- Business Analytics
- Data Visualization
- Data Engineering
- Python
- SQL
- Hadoop
- Spark/PySpark
- Tableau
- Auto ML Tools
- Microsoft Azure
- Project Management
- Stakeholder Management
Timeline
Specialist Data Scientist
Kimberly Clark
12.2021 - Current
Lead Data Scientist
Franklin Templeton
07.2018 - 12.2021
Senior Analyst
Bank of America
07.2014 - 07.2018
Analytics Consultant
Genpact
06.2013 - 07.2014
Associate Process Manager
eClerx Services
05.2011 - 06.2013
Associate Software Engineer
Accenture Services
10.2008 - 07.2010
Post Graduate Program in management - Business Statistics, Operations Research, Systems and Business Intelligence
Europe Asia Business School
B.Sc. IT and Management - Computer Networking And Software Design
Ravenshaw University
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