Nov 2023 – Jan 2024 · 2 mos · Remote

Jun 2023 – Nov 2023 · 5 mos · Remote

• KPMG AU Data Analytics Job Simulation on Forage
• 1. Data Quality Assessment and Preparation
• The initial phase consist of conducting a comprehensive assessment of data quality and completeness. The assurance of data accuracy and integrity stood as a critical pillar of our analysis.
• 2. Data Analysis for Customer Targeting
• Worked on data analysis tools to identify high-value customers based on demographics and a multitude of attributes. Primary goal was to identify customers with the highest potential for engagement and revenue generation.
• 3. Development of Informative Dashboards
• To effectively convey the insights, to create informative dashboards, replete with visually compelling data representations. These dashboards served as indispensable tools for the client, enabling them to distill crucial insights and make data-driven decisions.

Jun 2023 – Sep 2023 · 3 mos · Remote

• Worked under the mentorship of Dr. SUMIT SHUKLA to Create a Machine Learning model to Detect Spam Emails With High Accuracy (97.6%)

May 2023 – Aug 2023 · 3 mos · Dehradun, Uttarakhand, India · Hybrid

• Worked under the mentorship of Dr. TANUPRIYA CHOUDHURY to develop A Deep-Learning Approach for Ship Detection Using Satellite Imagery.
• 1.Researched about Satellite Imagery dataset
• and related thesis.
• 2. Collected and formulated Ship Satellite
• Imagery Dataset.
• 3. Developed a high precision model for the prediction based on the segmented masked
• dataset of the Ship localised.
• 4. Formulating and concluding a research paper
• on "A Deep Learning approach for Ship detection using Satellite Imagery".

May 2023 – Aug 2023 · 3 mos · Remote

• 1. Spearheaded a comprehensive Explanatory Ratings Analysis of Anime, applying advanced statistical and machine learning techniques to uncover intricate insights within the anime viewing patterns.
• 2. Developed custom Python scripts and utilized data visualization tools such as Matplotlib to create informative data visualizations and dashboards
• 3. Employed regression analysis, clustering algorithms, and time series forecasting to predict future rating trends and provide actionable recommendations for content producers.
• 4. Collaborated closely with a diverse team, including domain experts, statisticians, and fellow data scientists, to translate findings into actionable strategies for content optimization and audience engagement.

Jun 2021 – Aug 2021 · 2 mos · Patna, Bihar, India · On-site

• Actively involved with the Socially Smart City project, contributed to the documentation work of the project while gaining a deep understanding of the policies and programs. My dedication and strong work ethics were evident throughout this experience, and had a natural aptitude for learning. During this time, got an opportunity to explore field visits through online media, expanding my knowledge about the organization, the social sector, policy-making, sanitation worker’s training, and various processes.

Apr 2021 – Jun 2021 · 2 mos · Remote

• As an Intern at Unschool, I used data analytics and machine learning techniques to accomplish the following:
• Market Research: Leveraged data analytics to identify target markets and used machine learning to segment students based on interests and behaviors for more accurate targeting.
• Intern Recruitment & Training: Optimized recruitment through data-driven insights and machine learning to match candidates with roles, and tailored training programs based on intern performance.
• Promotion (Sales & Marketing): Utilized machine learning to analyze student behavior, predict trends, and personalize marketing. Data analytics helped optimize campaigns and measure effectiveness across channels.

Dec 2020 – Mar 2021 · 3 mos · Remote

• Introduction to different supervised and unsupervised learning techniques.Worked on linear regression and developed house price prediction model