POLANATI MOHAN CHANDRA

Responsibilities:

• Conducted exploratory data analysis (EDA) on patient health records and weather datasets to identify correlations between environmental factors and health parameters.
• Preprocessed and cleaned large datasets by handling missing values, removing duplicates, and ensuring data consistency.
• Developed a data model linking weather data (temperature, humidity, wind speed, dew point) with health metrics (heart rate, body temperature, blood pressure) using the Date-Time attribute.
• Built interactive dashboards using data visualization tools to display trends and insights.
• Identified key findings, such as the impact of humidity and temperature on body temperature and heart rate fluctuations under varying wind speeds.
• Presented insights and recommendations to improve preventive healthcare strategies and early health risk detection.
• Explored potential applications of AI-driven predictive models for real-time health monitoring and personalized healthcare recommendations.

Responsibilities:

• Followed school and classroom policies, regulations, dress codes, and schedules.
• Collaborated on group projects to complete professional deliverables.
• Enhanced classroom experience by utilizing multimedia presentations and interactive learning tools.
• Completed rigorous readings as directed to support unit learning goals.

Responsibilities:

• Conducted a comprehensive sales analysis for a retail superstore using Tableau and Excel.
• Generated visualizations like histograms, heatmaps, and line charts to uncover patterns in sales, discounts, and profitability across regions.
• Identified key insights, such as the United States having the highest discounts and order counts, and provided actionable recommendations to optimize discount strategies and improve regional performance.
• Collaborated on strategies to boost sales and profitability, leveraging insights from high-performing managers and regions.

RESPONSIBILITIES-

Conducted SWOT and PESTEL analyses to evaluate internal and external factors impacting Tata Motors.

• Assessed organizational structure, management controls, and compensation policies.
• Explored key initiatives such as electrification, global expansion, and cost optimization strategies.
• Analyzed qualitative and quantitative data to understand Tata Motors' dual strategy of differentiation and cost leadership.

Responsibilities:

• Developed an image recognition system for identifying and tracking products using deep learning techniques.
• Utilized Python libraries like TensorFlow, Keras, and OpenCV to build and deploy convolutional neural networks.
• Collected, cleaned, and preprocessed a multi-class image dataset for model training and evaluation.
• Implemented transfer learning, data augmentation, and regularization to enhance model accuracy and reduce overfitting.
• Created a Flask-based web application to demonstrate real-time product recognition functionality.

Responsibilities:

• Designed and developed an accessory for air conditioning units to improve energy efficiency by utilizing Peltier modules for pre-cooling ambient air.
• Involved quantitative analysis to measure temperature drops, evaluate improvements in the Coefficient of Performance (COP), and estimate reductions in power consumption.
• Applied data analytics techniques to analyze experimental results, optimize design parameters, and project energy and cost savings, contributing to sustainable and energy-efficient cooling solutions.

• Conducted failure analysis on support rollers in Blender Reclaimer 4.
• Analyzed mechanical issues and suggested maintenance strategies to improve equipment reliability.
• Collaborated with engineers and technical staff to identify root causes of operational failures.
• Prepared detailed reports on findings and recommended improvements for enhanced efficiency.
• Sorted and organized files, spreadsheets, and reports.
• Gained hands-on experience in various software programs, increasing proficiency and expanding technical skill set.
• Supported staff members in their daily tasks, reducing workload burden and allowing for increased focus on higher-priority assignments.
• Gained valuable experience working within a specific industry, applying learned concepts directly into relevant work situations.