MOSAM KUMAR
Summary
Experienced Business Analyst Intern with background in data analysis, project management and process improvement. Strengths include critical thinking, problem solving, and strong communication skills. Utilized knowledge of business operations to contribute effectively to team projects while demonstrating ability to adapt quickly in fast-paced environments. Made significant impact by identifying business needs and developing solutions that streamlined processes and increased efficiency.
Overview
4
4
years of professional experience
2
2
Certifications
Work History
Business Analyst Intern
Shubh Lakshmi Indian Food Corporation
06.2025 - Current
- Assisted Business Analysis team in gathering business requirements and documenting key findings.
- Conducted detailed data analysis to identify process inefficiencies and improvement opportunities.
- Supported process optimization efforts to enhance workflow efficiency.
- Prepared business reports and visual presentations using Power BI and Excel.
- Collaborated with team members to ensure accurate data interpretation and reporting.
Web Designer Intern
Universal Informatics
08.2022 - 01.2023
- Developed responsive web pages using HTML, CSS, and JavaScript for seamless user interaction.
- Enhanced UI components to improve user experience and interface efficiency, leading to better engagement.
- Conducted testing and resolved cross-browser compatibility issues, ensuring uniform functionality across all platforms.
Education
Master’s - Business Analytics
Avila University
Kansas City, Missouri05-2026
Bachelor of Technology - Electrical Engineering
RGPV University
05-2024
Diploma - Electrical Engineering
RGPV University
06-2021
Skills
- Business analytics
- Data Analysis
- Business Reporting
- Power BI
- Tableau expertise
- SQL
- Excel
- Pivot tables
- Data integration
- Process improvement
- Process optimization
- Business intelligence
- Analytical thinking
Python Intern
Universal Informatics | Nov 2022
- Developed and tested Python scripts
- Assisted in debugging and validating application functionality
- Supported small-scale development tasks under supervision
Affiliations
IoT-Based Smart Parking System Using Ultrasonic Proximity Sensors (RGPV University 2024)
Designed and developed an IoT-enabled smart parking prototype using ultrasonic proximity sensors to detect vehicle presence in real time. Integrated a microcontroller (Arduino/ESP32) to process sensor data and display slot availability on an LCD and mobile application. Implemented cloud-based monitoring using platforms such as Blynk / ThingSpeak to enable remote tracking and data visualization. The system improves parking space utilization, reduces congestion, and demonstrates practical applications of embedded systems and IoT in smart city infrastructure.
Smart Energy Monitoring System using AI | Python, IoT (RGPV University 2024)
Designed and developed a system to monitor and analyze electricity consumption using IoT-based data collection and machine learning techniques. Performed data preprocessing and analysis using Python to identify usage patterns and trained predictive models to forecast energy consumption. The system provides insights to optimize energy usage and reduce power wastage, improving overall energy efficiency.
Sentiment Analysis on Social Media for Brand Monitoring (Avila University 2026)
Developed a machine learning model to analyze social media posts and classify sentiments (positive, negative, neutral) toward a brand. Implemented text preprocessing techniques including tokenization, stop-word removal, and stemming, and applied TF-IDF vectorization for feature extraction. Trained and evaluated classification models such as Logistic Regression and Support Vector Machines using Scikit-learn, achieving reliable sentiment prediction using accuracy, precision, recall, and F1-score metrics.
Designed and developed an IoT-enabled smart parking prototype using ultrasonic proximity sensors to detect vehicle presence in real time. Integrated a microcontroller (Arduino/ESP32) to process sensor data and display slot availability on an LCD and mobile application. Implemented cloud-based monitoring using platforms such as Blynk / ThingSpeak to enable remote tracking and data visualization. The system improves parking space utilization, reduces congestion, and demonstrates practical applications of embedded systems and IoT in smart city infrastructure.
Smart Energy Monitoring System using AI | Python, IoT (RGPV University 2024)
Designed and developed a system to monitor and analyze electricity consumption using IoT-based data collection and machine learning techniques. Performed data preprocessing and analysis using Python to identify usage patterns and trained predictive models to forecast energy consumption. The system provides insights to optimize energy usage and reduce power wastage, improving overall energy efficiency.
Sentiment Analysis on Social Media for Brand Monitoring (Avila University 2026)
Developed a machine learning model to analyze social media posts and classify sentiments (positive, negative, neutral) toward a brand. Implemented text preprocessing techniques including tokenization, stop-word removal, and stemming, and applied TF-IDF vectorization for feature extraction. Trained and evaluated classification models such as Logistic Regression and Support Vector Machines using Scikit-learn, achieving reliable sentiment prediction using accuracy, precision, recall, and F1-score metrics.
Certification
SQL intermediate certificate
HackerRank
HackerRank
Timeline
Business Analyst Intern
Shubh Lakshmi Indian Food Corporation
06.2025 - Current
Web Designer Intern
Universal Informatics
08.2022 - 01.2023
Master’s - Business Analytics
Avila University
Bachelor of Technology - Electrical Engineering
RGPV University
Diploma - Electrical Engineering
RGPV University