Sivamanoj Sreeramakavacham

Product Manager

Philadelphia, Pennsylvania, United States10 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Pioneered AI integration, enhancing operational efficiency.
Led data science team, fostering a data-centric culture.
Achieved significant cost savings through predictive modeling.

Stackforce AI infers this person is a Data Science expert with a strong focus on AI-driven solutions in the SaaS industry.

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Skills

Core Skills

Data ScienceAiPredictive AnalyticsMachine LearningTeam DevelopmentData AnalysisBusiness IntelligenceProject ManagementStatistical Analysis

Other Skills

A/B TestingAgile MethodologiesAmazon Web Services (AWS)Artificial Intelligence (AI)AutoCADAutomotiveCC++CATIACustomer Experience OptimizationData GovernanceData ManagementDeep LearningDynamic PricingIndustrial Engineering

About

Data Scientist with 8 years of experience, familiar with gathering, cleaning, and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic, and other analytical techniques. Highly organized, motivated, and diligent with significant background in managing data science teams.

Experience

Simpletire

3 roles

Manager, Data Science

Promoted

Jan 2024 – Present · 2 yrs 2 mos · Philadelphia, Pennsylvania, United States

⬧ Strategic AI Integration: Pioneered the adoption of AI across SimpleTire, establishing it as a core capability to drive customer insights, operational efficiencies, and profitability. Led cross-functional initiatives that positioned AI as a fundamental enabler in customer experience, inventory accuracy, and compliance monitoring.
⬧ Data-Driven Transformation and Leadership: Built and mentored a high-performance data science team, fostering a data-centric culture that supports the entire organization. My team’s analytical support now spans all departments, delivering impactful insights and automated decision-making tools, empowering over 100 employees.
⬧ Customer Experience Optimization through Data Insights: Developed and scaled AI-powered tools to deliver real-time customer sentiment and product insights, significantly enhancing SimpleTire’s customer support efficiency and brand sentiment visibility (improving CSAT scores by 20% and positive responses by 25%).
⬧ Operational Efficiency through Automation: Led initiatives to automate and streamline key processes in inventory normalization, pricing strategy, and promotional planning. Reduced manual workload and increased operational accuracy by deploying AI to handle high-volume, complex data transformations.
⬧ Revenue Growth and Profitability: Oversaw the development of dynamic pricing and merchandising algorithms, driving a 4x increase in profit margins and reducing shipping distances, saving $2M in shipping costs annually. These models prioritized local deliveries and enhanced partner brand visibility, contributing to both revenue and cost optimizations.
⬧ Predictive Modeling for Supply Chain Resilience: Advanced SimpleTire’s predictive capabilities by implementing models that anticipate logistical delays and optimize stock placement by 22%. These efforts improved delivery transparency and supply chain efficiency boosting customer satisfaction by achieving 95% on-time delivery rate.

AIData SciencePredictive AnalyticsOperational EfficiencyCustomer Experience Optimization

Senior Data Scientist

Promoted

Aug 2021 – Jan 2024 · 2 yrs 5 mos · Philadelphia, Pennsylvania, United States

⬧ Strategic Road-mapping and Cross-functional Collaboration: Partnered with senior leadership to develop and execute quarterly analytics roadmaps, aligning data science initiatives with business priorities. Enhanced cross-functional collaboration, ensuring that data-driven insights informed decision-making across marketing, supply chain, and finance.
⬧ Team Development and Analytics Infrastructure: Supported the expansion of the analytics team by hiring key talent and establishing an advanced analytics tech stack. Played a lead role in defining data governance standards, enhancing data accessibility and reliability for various departments.
⬧ AI-Driven Revenue and Cost-Saving Models: Developed and deployed predictive models for Demand Forecasting, Sourcing Logic, and Network Optimization, contributing over $500K in annual cost savings and improving B2B channel performance. Introduced Machine Learning models to predict Customer behavior, enabling targeted strategies for conversion optimization.
⬧ Operational Efficiencies through Advanced Modeling: Directed the creation of Network Optimization and Customer Behavior models that streamlined operations and enhanced customer satisfaction. Managed the deployment of these solutions on AWS, delivering real-time insights and contributing to SimpleTire’s operational scalability resulting in 4% increase in conversion rate and 18% increase in B2B sales.
⬧ Data Accessibility and Documentation Standards: Established data documentation standards and implemented automated reporting solutions to democratize access to data insights, ensuring alignment and accountability across technical and business teams, reducing dependency on data team by 35%.

PythonA/B TestingStatistical ResearchMachine LearningNetwork OptimizationData Science

Senior Operations Analyst

Sep 2019 – Aug 2021 · 1 yr 11 mos · Philadelphia, Pennsylvania, United States

⬧ Collaborated with cross-business team members to maintain operational goals focusing on continuous improvement of the supply chain.
⬧ Involved in top-level strategizing, forecasting and budgeting that assisted in allocating resources and planning performance.
⬧ Implemented advanced business intelligence tool, PowerBI and built analytical ad-hoc reports that monitored KPI’s.
⬧ Strategically identified, developed, and executed analysis project that identified $500,000 savings in transportation.
⬧ Performed advanced SQL queries using MYSQL Workbench and Snowflake.
⬧ Developed advance RNN time series model to analyze and forecast sales at each warehouse.
⬧ Mentored and guided two interns in developing advanced time series models.
⬧ Acknowledged by superiors for excellent findings and data visibility through analysis and process management

SQLBusiness IntelligenceData Analysis

Concerted care group llc

Revenue Cycle Analyst

Dec 2018 – Sep 2019 · 9 mos · Baltimore, Maryland Area · On-site

⬧ Translated strategic business needs into functional and technical requirements and
oversee the implementation of systems to meet those requirements.
⬧ Performed advanced SQL queries using both MYSQL Workbench and MS SQL Server Management Studio.
⬧ Designed and built analytical and financial ad-hoc reports within Microsoft SQL SSRS and MS Excel as part of the Denial Management Team.
⬧ Applied machine learning algorithms to analyze and identify trends and patterns in client payment data.
⬧ Developed machine learning models to analyze the client data and identified clients with frequent denials using clustering algorithms.
⬧ Predicted potential denials using predictive analysis models resulting in a 28% reduction in denials per week.
⬧ Implemented project management tools to enable tracking of projects in the organization as part of process improvement initiative.
⬧ Developed tools using C# to track the productivity of counselors and automated the delivery of reports using SSRS to COO, Center Directors, and Supervisors.

SQLMachine LearningProject ManagementData Analysis

University of missouri

Graduate Research Assistant

Sep 2016 – Jul 2018 · 1 yr 10 mos · Columbia, Missouri Area

Project: Healthcare Process Improvement in the Intensive Care Unit (ICU) at University of Missouri Hospital.
⬧ Conducted a Time and Motion study and assimilated nurses' workflow in an ICU.
⬧ Designed and built statistical analysis models on large data sets of nurses’ workflows using SQL, Excel, and Python for data intelligence and analysis.
⬧ Successfully interpreted from the data that, nurses spent 43% of shift time on primary care activities with the majority being spent on EMR charting (7%).
⬧ Converted data into actionable insights by analyzing (Regression Analysis) and predicting that nurses experienced 5% more workload for documentation tasks.
⬧ Reduced nurses’ workload by 23% by providing recommendations based on the data analysis.
⬧ Presented the findings and data to field experts at University Hospital to improve nurses’ workflow.
⬧ Contributed to professionally written scientific paper for publication in International Conference on Digital Human Modelling and Applications in Health, Safety, Ergonomics, and risk management.
Project: Fuzzy Logic Patterns: Communication and Team Performance.
⬧ Extracted ten team’s communication data from MySQL.
⬧ Created Fuzzy Cognitive Maps for each conversation between the team members.
⬧ Developed statistical analysis models on the data extracted using R programming to identify the relationship between communication patterns and team performance.
⬧ Successfully interpreted from the analysis that the High Performing Team communicated 19% better in terms of asking and responding to questions.

SQLPythonStatistical AnalysisData Analysis

Hexagon capability center india

Software Analyst

Jun 2015 – Jul 2016 · 1 yr 1 mo · Hyderabad Area, India

Project: SABIC – Polyoxymethylene Plant for Intecsa, Spain
⬧ Gathered, organized and input Piping Specifications information into the digital database.
⬧ Extracted data from product catalog contained in MySQL to create new specs and update the database.
⬧ Generated reports from PDMS data to process the data using Excel and update existing tables in MySQL.
⬧ Trained and lead 4 new employees on Reference Data associated project.
⬧ Proactively researched and developed applications that reduced man-hours and increased the productivity of the team by over 80%.
⬧ Developed database objects, including tables, views and materialized views using MySQL.

MySQLData Management

Cyient

Engineering Intern

Jul 2014 – Aug 2014 · 1 mo · Hyderabad Area, India

⬧ Collaborated with senior engineers on data analysis projects and offered insight.
⬧ Read and interpreted blueprints and drawings of aircraft wings.
⬧ Performed statistical analysis tests using SPSS and Minitab on data pertaining to maximum load carrying capacities of composite materials and metals.
⬧ Created dashboards in Excel using Pivot tables to report the load carrying capacities of each type of composite material.
⬧ Created engineering documentation, including manufacturing processes, stress analysis tests and recommendations.

Bharat heavy electricals limited

Engineering Intern

Jun 2013 – Jul 2013 · 1 mo · Hyderabad Area, India

I had done this internship to gain more knowledge on the various manufacturing processes available to manufacture a steam turbine blade.
Responsibilities:
⬧ Carried out a comparative study on the manufacturing of Steam Turbine blades on a 5-Axis CNC machine and a lathe machine.
⬧ Studied the different manufacturing processes of a steam turbine blade used by BHEL.