Result-driven Data Scientist with expertise in machine learning, statistical modeling, and data-driven decision-making. Proficient in extracting actionable insights from large datasets to solve complex business problems and drive innovation. Experienced in developing and deploying predictive models, data visualizations, and automated analytics pipelines across diverse industries. Skilled in Python, R, SQL, and popular ML frameworks like Scikit-learn. Passionate about leveraging data science to optimize processes, improve performance, and support strategic decision-making. Known for a strong problem-solving mindset, collaborative teamwork, and a commitment to delivering impactful results
Overview
6
6
years of professional experience
1
1
Certification
Work History
Mathematician,Data Scientist
Raphe mphibr
Noida
05.2024 - Current
Designed and implemented computer vision algorithms lik SIFT for UAV applications, focusing on real-time object detection, classification, and tracking to support mission-critical defense operations.
Applied data science methodologies to analyze and interpret large-scale flight, sensor, and geospatial data, enabling data-driven insights for decision-making.
Developed predictive models to optimize UAV performance metrics such as battery life, flight stability, and navigation in dynamic environments.
Conducted data preprocessing, feature engineering, and statistical analysis to improve the accuracy of machine learning models.
Built automated pipelines for data collection, cleaning, and visualization, facilitating comprehensive reporting and performance analysis.
Leveraged advanced tools like Python, Pandas, NumPy, Scikit-learn, to build robust machine learning solutions.
Deployed AI-driven analytics to enhance UAV surveillance capabilities, including anomaly detection and environmental pattern recognition.
Collaborated with the engineering team to integrate data science solutions into UAV systems, ensuring seamless operation in real-world scenarios.
Contributed to the development of custom dashboards for monitoring UAV data in real time, providing actionable insights to stakeholders.
Played a key role in advancing the company’s AI and data science strategy, ensuring alignment with government defense objectives.
Analysed large datasets using Python and SQL to identify trends and patterns, leading to data-driven business decisions
Automated the Data pre-processing set and build feature engineering using python to reduce the efforts as it takes 80% for data scientist team.
Proficient in Python programming language for data analysis, visualization, and machine learning using libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn.
Experienced in R programming for statistical analysis, data manipulation, and visualization utilizing packages like dplyr and ggplot.
Solid knowledge of statistical methods and techniques for hypothesis testing, regression analysis, and clustering.
Familiarity with SQL for data extraction, manipulation, and querying from relational databases.
Proficient in predictive modelling, regression analysis, clustering, and segmentation to uncover patterns, trends, and correlations, facilitating data-driven decision-making processes
Experienced in utilizing Google Cloud Platform (GCP) services such as BigQuery, Cloud Storage, and Dataflow for data storage, processing, and analysis.
Familiarity with Git version control for collaborative development, code management, and version tracking.
Strong understanding of data engineering concepts including ETL (Extract, Transform, Load) processes, data warehousing, and data modeling.
Senior Data Analyst
AKZONOBEL INDIA Pvt. Ltd
Gurugram
04.2022 - 08.2023
Proficient in Python for data analysis, visualization, and automation.
Developed SQL queries to calculate sales revenue, profit margins, and product performance metrics for analysis and visualization.
Knowledgeable in data extraction and manipulation from various sources including databases, CSV files, and APIs.
Created interactive dashboards using Tableau/Power BI to present sales insights and trends to stakeholders, enabling data-driven decision-making.
Ability to work with stakeholders to understand reporting requirements and translate them into automated solutions.
Executed SQL queries to extract and analyze data from relational databases to support business operations and decision-making processes.
Develop key performance indicators (KPIs), dashboards, and reports to track business performance, identify opportunities, and drive strategic initiatives for revenue growth and operational efficiency.
Data Analyst
NTT DATA Solutions
NOIDA
05.2019 - 04.2022
Worked in Sensormatic (JCI) project with the huge number of brands like M&S, Lacoste, Triumph etc
We analyzed the shopping data on server using python and R of Retail and Malls sites using the tools (Footprint& Shopper- Trak) for making their business growth and optimizing their solutions and future approach
Utilized Python and SQL to analyze customer transaction data and segment customers based on their purchase behavior and demographics.
Developed targeted marketing strategies for each customer segment to increase customer engagement and loyalty.
Implemented visualization techniques to present segmentation analysis findings to stakeholders and drive actionable insights.
Strategic thinking and problem-solving abilities for identifying opportunities and implementing innovative solutions.
Strong organizational and time management skills for prioritizing tasks and managing resources effectively.
Education
Post Graduate Diploma in Applied Statistics - Data Science
INDIAN STATISICAL INSTITUTE
01.2024
B.S.C Mathematical Sciences -
Deen Dayal Upadhyay College
01.2017
Class XII -
Bharat National Public School
01.2014
Class X -
Bharat National Public School
01.2012
Skills
Python, R, SQL
Pandas, NumPy
Supervised Learning (eg, Linear Regression, SVM, Random Forest)
Matplotlib, Seaborn, Plotly, Tableau, Power BI
Data cleaning, Feature Engineering, Missing Value Imputation