About me

PMP-certified Associate Manager with 13+ years of experience in US retirement and financial services operations, leading teams, managing complex enterprise processes, and driving data-informed decision making.

Proven expertise in stakeholder management, workforce analytics, compliance governance, and operational optimization. Experienced in developing reporting dashboards, improving productivity, and enabling leadership visibility through analytics and structured process management.

Holds a Master’s degree in Computer Science specializing in Artificial Intelligence and Machine Learning, combining enterprise leadership experience with strong analytical and technical foundations. Interested in leveraging project leadership, data analytics, and intelligent systems to drive operational transformation, automation, and scalable business outcomes.

Professional Highlights 

• Leadership

  1. 1. 1. • Manage and mentor a team of 18+ professionals

           • Responsible for operational workflow management and quality delivery

• Project Governance

  1. 1. 1. • PMP certified with strong understanding of stakeholder management, risk management, and structured execution

• Data & AIhttps://drive.google.com/file/d/1vbcU7of6UYVb1QjKWQluYKhlV3FsNL2o/view?usp=sharing

  1. 1. 1. • Academic background in Data Science and Machine Learning

           • Interested in intelligent systems and data-driven organizations

Experience

• Principal Global Services, Pune

Associate Manager (Sr. Consultant) : Mar 2022 – Till date

• Lead and manage a team of 18+ professionals (Government reporting & Compliance Services) supporting US retirement operations, ensuring compliance, reporting accuracy, and operational performance.

• Drive operational governance frameworks, monitor performance metrics, and implement productivity improvement initiatives across retirement operations.

• Partner with stakeholders and senior leadership to improve reporting transparency and operational decision making

• Designed Power BI dashboards to monitor productivity, workforce capacity, and operational KPIs for leadership decision support. 

• Implemented process improvements that increased team productivity by 25% 

• Lead modernization initiatives to identify automation opportunities and enhance operational efficiency through analytics and process improvements.

Senior Process Lead - Trainer (Consultant) : Oct 2020 – Feb 2022

• Provided leadership and mentorship to the team, guiding them effectively.

• Contributed to strategy development, enhancing team performance.

• Collaborated cross-functionally to align processes and goals.

• Identified and implemented process improvements.

Process Lead - Trainer (Lead Analyst) : Jan 2018 – Sep 2020

• Provided global training and support on diverse topics.

• Developed and delivered new hire onboarding programs.

• Analyzed team performance and implemented improvement strategies.

Process Specialist & Sr. Process Specialist : Feb 2013 – Dec 2017

• Prepared and maintained financial records and documents.

• Mentored existing as well and new hires post training. Organized team building activities.

• Infosys BPO Limited, Pune

Process Executive : Dec. 2011- Feb. 2013

• Provide prompt, courteous & great service to US customers over call & chat.

• Understood & resolved billing / technical issues, upsold to the existing customers

SKILLS 

• Leadership & Project Management

  • • • Project Management & Governance 

      • Stakeholder Management

      • Team Leadership and Development

      • Process Improvement and Optimization

      • Artificial Intelligence

      • Machine Learning

      • Data Science

• Analytical Skills

  • • • Data Cleaning and Preprocessing

      • Feature Engineering

      • Model Evaluation and Validation

      • Descriptive and Inferential Statistics

      • Data Wrangling

• Product Analytics

  • • • Product Strategy Development

      • A/B Testing and Experimental Design

      • Root Cause Analysis

      • Metrics Analysis and Reporting

• Technical Skills

  • • • Programming Languages: Python, SQL

      • Advanced Excel (Formulas, Pivot Tables, Data Visualization)

      • Libraries & Frameworks: Pandas, Numpy, Scikit-learn, TensorFlow, PyTorch

      • Data Visualization Tools: Power Bi, Tableau, Matplotlib, Seaborn

      • Machine Learning Techniques: Supervised Learning (Linear Regression, Decision Trees, Random Forests)

      • Unsupervised Learning (Clustering, K-Means)

      • Neural Networks (CNN, RNN, LSTM, GANs)

      • MLOps: Model Deployment, Monitoring, and Maintenance

      • Statistics: Probability Theory, Hypothesis Testing, Regression Analysis

Projects

Hypothesis Testing - Python

• Analyzed the influence of factors like working days, seasons, and weather on electric cycle rentals.

• Selected appropriate tests, established hypotheses, checked assumptions, and determined significance levels.

• Provided insights and recommendations based on the analysis, even when some assumptions were not met, ensuring a thorough assessment of the factors affecting rental numbers.

E-commerce - SQL 

• Conducted extensive data analysis using SQL in BigQuery.

• Imported the dataset and performed exploratory tasks like checking data types, analyzing order timelines, and customer locations.

• Delved deeper into trends, seasonality, and preferred order times, as well as assessed the evolution of e-commerce orders and economic impact.

• Examined payment-related insights to extract valuable insights and offer actionable recommendations.

Trainee Attrition Analysis - MS Excel 

• Gathered historical data on trainee batches to conduct an attrition analysis.

• Analyzed trainee performance, trends, and tenure over the years to determine the viability of continuing trainee hiring.

• Provided valuable insights and recommendations to management based on the analysis findings.

Customer Segmentation Analysis - Python (Scikit-learn)

• Utilized clustering techniques to segment clients based on behavior.

• Delivered insights that informed targeted marketing strategies, enhancing customer engagement and retention.

Neural Network Implementation - Python (TensorFlow, Keras) 

• Developed a predictive model to assess client risk profiles.

• Improved risk management strategies and enhanced client engagement through data-driven insights.

Predictive Modeling - Python (Scikit-learn) 

• Developed a predictive model to assess client risk profiles.

• Improved risk management strategies and enhanced client engagement through data-driven insights.

Data Visualization Dashboard - Power Bi 

• Created an interactive dashboard to analyze retirement plan performance metrics.

• Facilitated data-driven decision-making for stakeholders by presenting key insights visually.

Product Analytics Case Study - Python, Excel 

• Conducted a comprehensive analysis of product metrics, including A/B testing and root cause analysis.

• Optimized product features and enhanced user engagement based on analytical findings.