Results-oriented individual with a passion for continuous learning and innovation. Known for leveraging analytical thinking and creativity to solve problems and deliver high-impact solutions in fast-paced environments.
Overview
7
7
years of professional experience
Work History
Data Scientist
Tek Prism
Dallas, TX
05.2023 - Current
Data Integration & Analysis: Collected, cleaned, and integrated large datasets from multiple internal and external sources (sales, customer, product data) using Python (Pandas, NumPy) and SQL, ensuring data quality and readiness for analysis.
Predictive Modeling & Forecasting: Developed and deployed machine learning models (e.g., regression, classification, time-series) using Python (scikit-learn) to forecast business outcomes, identify trends, and optimize decision-making across sales and marketing teams.
Data Visualization & Reporting: Created interactive dashboards and automated reports using Python (Matplotlib) and Tableau, delivering actionable insights on key performance metrics such as customer behavior, product performance, and market trends.
Cross-Functional Collaboration: Worked closely with marketing, sales, and product teams to translate business needs into data-driven solutions, enhancing customer targeting strategies and improving product offerings based on insights from predictive analytics.
Process Optimization: Streamlined data collection and reporting processes by building ETL pipelines and automating workflows using Python and cloud services (AWS), reducing manual reporting time by 30%.
Statistical Analysis & Testing: Conducted A/B tests and statistical analyses (e.g., hypothesis testing) to evaluate the effectiveness of marketing campaigns, leading to a 12% increase in conversion rates and overall marketing ROI.
Data Scientist
Digital Intellects
Hyderabad
04.2018 - 12.2021
Data Integration & Cleaning: Used Python with libraries like Pandas and NumPy to extract, clean, and merge data from various sources (CRM, Google Analytics). Automated the data preparation process for analysis, ensuring consistency and accuracy across large datasets.
Predictive Modeling: Built and deployed machine learning models using Python's scikit-learn to predict customer purchasing behavior and trends, improving product recommendations and boosting repeat customer purchases by 15%.
Visualization & Reporting: Developed interactive dashboards with Python and Matplotlib to visualize key performance indicators (KPIs), customer segments, and sales data, enabling the marketing team to optimize campaigns in real-time.
A/B Testing: Designed and analyzed A/B tests on website features using Python for statistical analysis, leading to a 12% increase in conversion rates through better-targeted user experience improvements.
Business Intelligence Analyst
Accenture
Hyderabad
04.2018 - 04.2020
Data Analysis & Reporting: Utilized Python (Pandas and SQLAlchemy) to process large financial datasets, merging transactional data and market trends from multiple sources for detailed financial analysis.
Forecasting & Predictive Analytics: Developed and deployed statistical models in Python to forecast market trends and financial outcomes, allowing clients to make more informed investment decisions.
Automated Reporting: Created automated financial reports using Python and libraries like Matplotlib to visualize key trends, improving reporting efficiency and providing stakeholders with actionable insights.
Collaboration with Stakeholders: Worked directly with senior management and clients to deliver data-driven insights, using Python to refine models and adjust forecasting strategies in real-time.
Education
Master of Science - Computer Information Systems
New England College
Henniker, NH
05-2023
Skills
Python
SQL
Data Visualization
Predictive Modeling
Data Cleaning
Data Engineering
A/B Testing
Clustering
Regression
Analytics
Algorithms
Pandas
Scikit-learn
Optimization
Timeline
Data Scientist
Tek Prism
05.2023 - Current
Data Scientist
Digital Intellects
04.2018 - 12.2021
Business Intelligence Analyst
Accenture
04.2018 - 04.2020
Master of Science - Computer Information Systems
New England College
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