SAI MANISH

Versatile developer with more than a year of experience with new technologies and software engineering to increase development productivity. Carrying out in-depth consumer and market research to inform the development of application features. Acquiring and using new, difficult technological concepts quickly.

Accenture North America Data Analytics and Visualization Job Simulation on Forage - May 2024

Accenture North America Data Analytics and Visualization Job Simulation on Forage-May 2024

• Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture.
• Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions.
• Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.

HR Analytics and Strategic Insights for Business Leadership- Academic Project (Master's)

• To give company leadership useful insights on employee statistics, I examined a variety of HR datasets from AI HR and Kaggle, including Promotion data.csv, Retrenchment data.csv, and HR Analytics Data.csv.
• Analysis of NYC Property Sales Using Kaggle Dataset (Master's), Utilized the NYC Property Sales dataset from Kaggle to analyze real estate trends, pricing dynamics, and market conditions across various boroughs and neighborhoods.
• Online Food Delivery System (Bachelor's), Designed and developed an online Food Delivery application allowing users to browse, search, and purchase Food Items. Implemented user authentication, Food Menu, and payment gateway integration. Successfully deployed the application, enhancing user experience and increasing sales by 10%.
• Attendance System using Face Recognition (Bachelor's), Developing an automatic attendance management system using Machine Learning, Python, NumPy, Pandas and face recognition modules to detect the face of the students.
• Our system's algorithm uses a convolutional neural network to classify persons according to their faces and store the dataset by extracting the features in the image with help of different max pooling layers.
• By incorporating this the system can identify the faces of persons in front of the webcam and mark their attendance. We then use the open-cv and the face recognition modules in python to recognize people's faces.

Cognizant Artificial Intelligence Job Simulation on Forage - June 2024

• Completed a job simulation focused on AI for Cognizant’s Data Science team.
• Conducted exploratory data analysis using Python and Google Colab for one of Cognizant’s technology-led clients, Gala Groceries.
• Prepare a Python module that contains code to train a model and output the performance metrics for the Machine Learning engineering team.
• Communicated findings and analysis in the form of a PowerPoint slide to present the results back to the business.

Accenture North America Data Analytics and Visualization Job Simulation on Forage-May 2024

• Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture.
• Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions.
• Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.

HR Analytics and Strategic Insights for Business Leadership- Academic Project (Master's)

• Examined and analyzed HR datasets (Promotion data.csv, Retrenchment data.csv, and HR Analytics Data.csv) from AI HR and Kaggle to offer insightful employee statistics to corporate leadership.
• For a master's research, I used the NYC Property Sales dataset from Kaggle to study pricing dynamics, market conditions, and real estate trends in different boroughs and areas.
• During a bachelor's program, I developed and implemented two major projects: an automated attendance system that used facial recognition and machine learning (Python, NumPy, Pandas, convolutional neural networks, and OpenCV) for precise student attendance tracking, and an online meal delivery system with an integrated payment gateway, food menu, and user authentication that increased revenues by 10%.