Manoj C. Email & Phone Number

United States

New Jersey, United States

In my role as a Data Scientist, I conducted time series analyses and developed predictive models to forecast demand, enabling optimized stock levels and efficient inventory management. By analyzing inventory data, I identified fast- and slow-moving goods, which informed strategic restocking decisions and minimized holding costs. Integrating 3PL inventory data directly with backend systems allowed for real-time reporting, enhancing the sales team’s ability to access current insights quickly.Additionally, I built interactive dashboards and automated Office templates, streamlining the process of creating customer offers. This automation enabled the sales team to generate multiple offer sheets with just a few clicks, providing consistent, high-quality output in significantly less time. My efforts improved forecast accuracy by 20%, reduced data processing times by 30%, and increased the precision of inventory management through data-driven analysis.Projects I led included developing a Sales Forecasting Model, which leveraged customer purchase trends to deliver highly accurate demand predictions, facilitating better inventory planning. I also designed an Automated Offer Template, allowing the sales team to produce offer sheets more efficiently. Furthermore, the 3PL integration I implemented ensured accurate, real-time data flow, keeping sales metrics up-to-date and enabling the team to make more informed decisions.Key Skills:Time Series Analysis & Forecasting (Rolling Cross-Validation, Log Transformation)Predictive Modeling (Demand Prediction)Inventory Management Optimization (Inventory Analysis, Fast/Slow-Moving Goods)Data Integration & Automation (3PL Integration, Backend Development with Django)Python Programming (Pandas, NumPy, Statsmodels)Data Visualization & Reporting (Power BI, Tableau, Interactive Dashboards)Automated Office Templates (VBA, Power Automate)

New Brunswick, New Jersey, United States

I developed the entire website from scratch with a backend-driven design focused on internal operations. The backend features an admin panel and multiple functional modules, enabling efficient management of sales, inventory, and customer data.Sales Module: Empowers the sales team to generate customer-specific offers, access real-time 3PL stock data, and analyze fast-/slow-moving items to inform strategic restocking decisions.Customer Data Module: Stores customer contact information, supporting semi-automated, preference-based offers and profile updates, allowing for targeted, personalized engagement.Content Management Module: Allows the design team to upload image posters and update text, with changes reflected instantly on the live site, keeping content fresh and accurate.Inventory Management Module: Enables stock updates through CSV uploads, synchronizing instantly across the platform to ensure accurate inventory records.IT/Admin Module: Provides IT staff with control over team profiles, app passwords, staff email configurations, and system settings, ensuring secure, flexible management of the backend.The site is hosted on AWS infrastructure, utilizing MySQL RDS for the database, EC2 for server hosting, and Route 53 for domain management. This modular backend structure enhances Krisco’s operational efficiency, supporting quick updates, automation, and centralized control through a single admin interface.Key Skills:Web Development (Python, Django Framework)Backend Development (Admin Panel, Staff Logins, Modular System)Data Integration & Automation (3PL Integration, Customer Data Management)Order Processing Automation (Excel to Order System)Content Management (Real-Time Updates)AWS Cloud Services (MySQL RDS, EC2, Route 53)Modular System Design (Sales, Customer, Order, Content, Inventory, IT/Admin Modules)

Vijayawada, Andhra Pradesh, India

Speaker Recognition System with Gaussian Mixture Model (GMM) and Mel Frequency Cepstral Coefficients (MFCC)Designed and implemented an advanced speaker recognition system to identify speakers based on unique voice characteristics, leveraging Gaussian Mixture Models (GMM) for speaker modeling and Mel Frequency Cepstral Coefficients (MFCC) for feature extraction. Analyzed a dataset of 380 audio recordings from 38 speakers, including a 135-minute personal audio contribution in Hindi, English, and Telugu, ensuring a diverse dataset for model testing. This project, developed for the Ministry of Electronics and Information Technology (MeitY), Government of India, achieved an optimized accuracy of 92%. Applications include secure access control, voice authentication, and forensic investigations. Future improvements will focus on expanding the dataset and integrating deep learning methodologies for enhanced accuracy and robustness.Key Skills:Machine Learning: Gaussian Mixture Models (GMM)Speech Processing: Mel Frequency Cepstral Coefficients (MFCC)Audio Data Analysis: Feature extraction from WAV filesPython: Data processing, feature extraction, and model trainingData Visualization: Waveform plots, heat mapsSpeaker Verification: Unique speaker characteristic identificationModel Evaluation: Accuracy improvement to 92%Signal Processing: Audio waveform analysisAlgorithm Development: Predictive modeling and error reduction in speaker recognition

During my internship with AICTE, I implemented and optimized cloud applications on AWS, focusing on data management and analytics. Leveraging AWS services like EC2, S3, and RDS, I developed scalable, secure solutions that streamlined workflows and enhanced data processing capabilities. I collaborated closely with my team to apply best practices in cloud architecture and ensure robust security and compliance across applications. This role deepened my understanding of cloud computing in real-world scenarios, enabling me to design efficient and secure cloud environments.Key Skills:AWS: EC2, S3, RDSCloud Application DevelopmentData Management & AnalyticsWorkflow OptimizationCloud Security & ComplianceCloud Architecture Best PracticesCross-Functional Collaboration

Andhra Pradesh, India

During my internship at Professional Cipher, I developed a Django-based website from scratch, handling the complete setup of models, views, and templates. This immersive experience deepened my expertise in Python and solidified my web development capabilities.Beyond the technical foundation, I led the creation and management of website content, consistently updating blog posts and creating a YouTube tutorial playlist on the organization’s channel to enhance user engagement and maintain a dynamic online presence. My proactive approach contributed to a user-friendly and informative platform.Key Skills:Web Development: (Django framework, HTML, CSS, JavaScript)Python Programming: Backend development and data handlingContent Management: (Blog post and Youtube Tutorial Videos)User Engagement: (Content strategy to drive interaction)

Master Of Science - Ms, Computer Science

B.Tech, Computer Science (Specialized In Data Science And Big Data Analytics)

Intermediate, Mpc

Sophomore