Heisnam Sarojkumar Singh Email & Phone Number

Gurugram, Haryana, India

1. Data Management & SQL Expertise: Leveraging SQL to manage, clean, and manipulate large datasets from various sources to ensure accurate data flow and availability for the project.2. Data Analysis & Insights Generation: Conducting comprehensive data analyses to identify key patterns, trends, and insights that can inform decision-making processes for effective project implementation.3. Data Mining for Beneficiary Identification: Applying data mining techniques to identify eligible beneficiaries, detect anomalies, and ensure the inclusion of underserved populations.4. Data Visualization for Stakeholder Communication: Used Tableau to create dashboards and reports that communicate complex data insights to government officials and stakeholders clearly and effectively.5. Forecasting Demand & Supply: Implementing forecasting models to predict demand patterns across different regions, ensuring resource optimization and timely allocation.6. Optimization of Resource Distribution: Developing optimization models to streamline distribution logistics, reduce waste, and maximize efficiency in the supply chain.7. Machine Learning for Predictive Analytics: Building and deploying machine learning models to anticipate potential issues, such as supply shortages or fraudulent claims, improving the project’s responsiveness and accuracy.8. Technical Consulting & Advisory: Providing expert guidance on technology adoption, data integration, and infrastructure improvements to support seamless implementation.9. Collaboration with Cross-Functional Teams: Coordinating with government agencies, technology teams, and EY project teams to ensure alignment on project goals, timelines, and deliverables.10. Compliance & Data Security: Ensuring adherence to government data privacy standards and implementing robust security measures to protect sensitive beneficiary information.11. Continuous Improvement & Reporting: Monitoring project performance, identifying areas for improvement.

Delhi, India

- Utilized advanced Tableau techniques to consolidate and optimize dashboard screens, reducing server loading time by 30%.- Integrated SQL Server, E-COMM, and SAP HANA to streamline data extraction processes, improving efficiency by 25% and establishing a centralized data mart.- Employed Tableau Prep for ETL processes, enhancing data transformation and ensuring high-quality insights delivery.- Leveraged AI tools to automate workflows, increasing productivity by 25% and driving efficiency gains.- Presented technical analyses to diverse stakeholders, facilitating understanding and adoption of insights, resulting in a 20% increase in technical literacy.- Implemented data accuracy metrics and recommendations, enhancing overall data integrity by 15% and aligning projects with business objectives.- Collaborated with cross-functional teams, including SAP, to optimize data reporting capabilities and drive reporting efficiency improvements of 20%.- Conducted rigorous data cleansing processes, improving data integrity and accuracy by 20%.- Applied statistical techniques to derive meaningful insights, enhancing decision-making processes by 25%.In addition to the above, I am actively pursuing a transition into a data science role and continuously learning new skills and technologies to achieve this goal. I am currently familiarizing myself with Azure Microsoft after attending several Gen AI workshops, which provided hands-on experience in cloud computing and data analytics. Through different projects and self-study, I am expanding my knowledge and expertise in machine learning algorithms, data visualization techniques, and data manipulation tools, with the aim of becoming proficient in data science methodologies and practices.

Noida, Uttar Pradesh, India

1. Data Analysis and Reporting:• Utilized advanced data analysis techniques to extract insights and trends from educational datasets.• Developed comprehensive reports to communicate key findings and recommendations to stakeholders.• Conducted data-driven research to identify patterns and optimize educational programs.2. Statistical Analysis:• Performed statistical analysis on student performance data, identifying factors influencing academic outcomes.• Utilized statistical models to forecast student enrollment, retention rates, and program success.• Conducted hypothesis testing to evaluate the effectiveness of educational interventions.3. Data Visualization:• Created visually appealing dashboards and interactive visualizations to present complex data in a user-friendly manner.• Utilized tools like Tableau and Power BI to communicate insights and facilitate decision-making.• Designed data visualizations that effectively conveyed information to diverse audiences.4. Data Cleaning and Preprocessing:• Cleaned and transformed raw data to ensure accuracy and consistency.• Conducted data quality checks and implemented data cleaning techniques to improve data integrity.• Developed data preprocessing pipelines to streamline analysis and reduce errors.5. Database Management:• Designed and maintained databases to efficiently store and retrieve educational data.• Developed data architecture strategies for optimal data organization and retrieval.• Ensured data security and compliance with privacy regulations.

Noida, Uttar Pradesh, India

1. Predictive Model for Customer Trend Identification:• Developed a predictive model with 92% accuracy to identify customer trends and insights.• Used machine learning algorithms to analyze large datasets and extract valuable patterns.• Enabled data-driven decisions for targeted marketing campaigns and product development.2. Improved Customer Segmentation Accuracy:• Implemented the k-means clustering algorithm to enhance customer segmentation accuracy by 15%.• Gained a deeper understanding of customer preferences and needs for effective personalized marketing strategies.• Resulted in increased customer satisfaction, higher conversion rates, and improved business performance.3. Dashboard Development for Key Performance Indicators (KPIs):• Created interactive dashboards using Tableau/Power BI to visualize and monitor important KPIs.• Provided a comprehensive overview of the company's performance for data-driven decision-making.4. Data Manipulation and Automation:• Utilized Python and SQL for efficient data manipulation and automation.• Cleaned and pre-processed datasets, improving data accuracy and productivity.• Reduced manual effort and enabled more time for strategic analysis

Noida, Uttar Pradesh, India

• Identified and resolved process challenges for clients through thorough analysis, implementing automation, and reducing delivery time by 20%.• Coordinated with the DCO team to gain insights and increase revenue gain by up to 40%.• Developed a process improvement initiative resulting in a 10% reduction in customer service case completion time.• Conducted risk assessment and maintained quality assurance at 99.5%.• Streamlined business processes, identified areas for improvement, and increased productivity by up to 15%.• Created technical documentation, process flows, and user manuals.• Collaborated with cross-functional teams to identify and resolve process issues, resulting in an 8% increase in efficiency.• Conducted business analysis to identify process improvement opportunities.• Coordinated with multiple vendors' CRMs to streamline the process, reducing completion time by 12%.

Master Of Technology - Mtech, Electrical, Electronics And Communications Engineering, 8.6

Activities and Societies: Football, Trekking, swimming and volleyball

6 Month Course, Ai And Deep Learning, A

Activities and Societies: Leaning from the Basics of Python, Git and Machine Learning, Hands-on project• A comprehensive course which.

Bachelor Of Engineering - Be, Electrical And Electronics Engineering

Mathematics And Science