Company: iEnergizer Operations
Location: Noida, India 

Tenure :  2021 – 2025 

 Job roles :

• Data Analysis:

  • Analyze the online gaming platform data for patterns and anomalies.

  • Monitor player behavior to detect fraud or compliance issues.

• Risk Assessment:

  • Identify and assess risks in our user community of the platform.

  • Implement strategies to mitigate risks and enhance our user safety.

  • Collaborate with teams to address security concerns.

• Reporting and Sharing:

  • Prepare reports summarizing findings and recommendations.

  • Share an intelligence report with stakeholders for future decision-making actions.

• Client Communication:

  • Conduct regular meetings with USA clients to review monthly analysis reports.

  • Gather feedback and address client concerns to ensure satisfaction and alignment with expectations.

Company: Print Maker printing press
Loaction: Silchar, India 

 Job roles :- 

• Manage calls and handle client inquiries and orders.

• Organize documentation and assist in office maintenance.

• Ensure timely delivery and resolve issues promptly.

• Maintain supplies and office cleanliness.

Learn to leverage Microsoft Power BI to transform raw data into meaningful insights through interactive visualizations and reports.

Acquire essential skills in data preparation, modeling, and visualization using Power BI Desktop, Power Query, and DAX (Data Analysis Expressions) for creating dynamic dashboards.

Develop expertise in connecting to various data sources, performing data transformations, and building comprehensive data models for business intelligence solutions.

Master advanced visualization techniques and storytelling with data to deliver actionable insights through interactive reports and real-time dashboards.

An comprehensive curriculum by Wolfram Research that covers the foundations of machine learning (ML). The course dives into AI and ML principles, core mathematical concepts, and practical applications using Wolfram Language. Key topics include:

1) Machine Learning Life Cycle

2) Linear Algebra for ML algorithms

3) Calculus foundations for ML implementation

4) Probability and Statistics for ML

Understand the fundamentals of supply chain analytics and how analytics enhances efficiency.

Learn the development of analytics programs, including tools and methods used in supply chains.

Explore various types of analytics: descriptive, diagnostic, predictive, and prescriptive.

Gain insights into advanced topics such as IoT, cognitive supply chains, and analytics-driven innovation.

Learn the core practices and processes used by junior or associate data analysts in their daily roles.

Acquire key analytical skills like data cleaning, analysis, and visualization using tools such as spreadsheets, SQL, R programming, and Tableau.

Develop expertise in cleaning, organizing, and analyzing data for actionable insights.

Master visualization techniques to present findings effectively via dashboards, presentations, and popular platforms.

"I completed my Bachelor of Science degree from Assam University, one of the largest institutions in my hometown. Throughout my tenure, I immersed myself in the realms of theoretical science, with a primary focus on Physics, Mathematics, and Chemistry. The program emphasized theoretical approaches to problem-solving, particularly in the fields of theoretical physics and mathematical theorems & problems. My coursework provided a deep understanding of fundamental principles and theories within these subjects, allowing me to develop a good foundation in theoretical knowledge. This degree has equipped me with the skills to understand how science operates, sharpened my problem-solving abilities, and enhanced my critical thinking skills. This foundation enables me to tackle complex theoretical challenges across scientific domains."