Apr 2021 – Present · 5 yrs 2 mos

• Managed and led team for Data Science Projects on BFSI, Retail, Healthcare and Manufacturing using AI/ML, Python, SQL, AWS, Power BI and Tableau.
• Build and Managed Analytics Roadmap for respective client’s projects in collaboration with stakeholders involved
• Conducted regular planning and performance reviews aligned with key delivery, customer satisfaction, and operational efficiency matrices to drive improvements and adapt effectively to change. Design, run and measure experiments to test business hypothesis.
• Accelerate root cause analysis and insight generation for recurring use cases by leveraging automation. Craft impactful data derivatives aligned with organization strategic priorities such as customer retention, work efficiencies, and revenue growth.
• Taking responsibility for skill building within the organization (training, process definition, research of new tools and techniques etc), monitor and take part in hiring process.
• Conducting various Talks and Sessions on Analytics, Data Science & ML for developing compelling stories with business insights, focusing on strategic goals of the organization.
• Key Achievements:
• Collaborated with cross functional team to enable AI Driven decision making into core business processes, leads to 30% improvements in operational KPIs
• Implemented robust Model Governance, compliances and audit-readiness standard aligned with regulatory requirements
• Created a project prioritization framework linking data science efforts to strategic business value, improving project success rate by 50% and increasing ROI on data science investments
• 👉 Open to Director/Lead roles, consulting projects, or corporate training engagements in Data Science, SQL, Python, Power BI, and Analytics Strategy

Apr 2019 – Mar 2021 · 1 yr 11 mos

• Managed and worked on multiple data science projects on BFSI, Retail and Healthcare Domain and perform tasks such as Data Extraction, Data Extraction, Data Processing, Data Cleaning, Data Manipulation, Data Analytics, build models using Python.
• Proficient in using Python packages such as Numpy, Pandas, ScikitLearn, Matplotlib, Seaborn etc.
• Writing SELECT, INSERT, UPDATE, DELETE statements DML Functions such as sum, avg, min, max, count, window functions such as ROW_number, rank(), denserank(), First_value(), Last_value, lag(), lead() etc, Joins (INNER, LEFT, RIGHT, CROSS, SELF), Subqueries. Creation of Temporary Tables, CTE, Derived Tables, CASE Expressions for intermediary manipulations and calculations, Exploratory Data Analysis etc on MS SQL Server Database.
• Hands on of AWS Services such as AWS EC2, AWS Sagemaker, Lambda for building and deploying ML model on cloud.
• Hands on of statistical measurement frameworks such as measures of central tendency, dispersion, distribution, significance testing etc., machine learning techniques for Regression, Classification etc and using them as required based on project’s objective.
• Hiring and Training new Data Analyst and Data Scientist for various projects and helping aspirants in mastering technical knowledge of the respective data domains to deliver analytics and data science solutions and insights for business stakeholders
• Conducting various Talks and Sessions on Analytics, Data Science & ML.

Apr 2016 – Mar 2019 · 2 yrs 11 mos

• Excellent knowledge and Hands on of statistical measurement frameworks such as measures of central tendency, dispersion, distribution, significance testing etc., machine learning techniques for Regression, Classification etc.
• Writing SELECT, INSERT, UPDATE, DELETE statements DML Functions such as sum, avg, min, max, count, window functions such as ROW_number, rank(), denserank(), First_value(), Last_value, lag(), lead() etc, Joins (INNER, LEFT, RIGHT, CROSS, SELF), Subqueries. Creation of Temporary Tables, CTE, Derived Tables, CASE Expressions for intermediary manipulations and calculations, Exploratory Data Analysis etc on MS SQL Server Database.
• Performed Exploratory Data Analysis (EDA) to identify trends, support model building, and guide business recommendations using R and Python.
• Prepared various POCs for retail and healthcare projects.
• Built and automated interactive dashboards and executive-level reports using Power BI, helping decision-makers monitor KPIs and track real-time performance.