Neel Shankar Sundaram
Summary
Data science enthusiast with a distinction in statistics and a postgraduate degree in finance, combining strong quantitative skills with practical machine learning experience. Proficient in Python, SQL, data analysis, and deep learning models including LSTM, neural networks, and Autoencoders.
Overview
16
16
years of professional experience
1
1
Certification
Work History
Manager
Ajay Agri Works
02.2016 - Current
- Managed cross-functional operations including fish farming, mushroom cultivation, and poultry farming, diversifying revenue streams and achieving 25% revenue growth year over year.
- Led end-to-end operations across 65 acres of agricultural land, driving strategic initiatives that increased overall productivity by 30% within two years through data-backed crop planning and process optimization.
- Utilized agro-data insights to implement high-yield techniques and optimize crop rotation, enhancing soil health and promoting long-term sustainability.
- Mentored and trained 20-member farmer team in modern farming practices and analytics-based productivity tracking, driving continuous improvement and enabling sustainable scaling.
- Negotiated lease partnerships for two petrol pumps, enhancing business cash flow and enabling vertical integration.
Assistant Manager
Xsys Technologies
New Delhi
06.2014 - 12.2015
- Spearheaded a 15-member sales and analytics team, leveraging CRM dashboards and performance analytics to track KPIs, optimize sales funnels, and exceed quarterly targets by 20%.
- Achieved promotion to Manager in record time (1 year, 6 months) - only the second such instance in company history - by demonstrating excellence in stakeholder management and data-informed decision-making.
- Received Best Manager in Sales and Marketing (2014-2015) and Marketing Wizard Award for consistently surpassing sales KPIs and leading successful client acquisition initiatives.
- Developed and implemented data-driven sales forecasting model, improving projection accuracy and enabling smarter resource allocation.
- Executed customer segmentation and performance tracking with data visualization tools, expanding client base by 40% through targeted engagement strategies.
- Managed technology solutions for clients, enhancing service delivery and client satisfaction.
Associate Sales Manager
Xsys Technologies
New Delhi
07.2010 - 07.2012
- Increased company revenue by $50K through strategic business development and establishing partnerships with 20+ new enterprise clients.
- Increased sales by $50K through relationship development with 20 new prospects.
- Analyzed data and tracked performance to identify high-value opportunities and enhance customer retention.
- Collaborated with technical and marketing teams to streamline client onboarding and ensure data consistency.
- Recognized for strong client relationship management and analytical approach to sales growth.
- Developed IT solutions for clients
Education
Post-Graduate Diploma - Business and Finance
University of Lancaster
India/UK07-2014
Bachelor - Business Administration
Asia Pacific Institute of Management
New Delhi01-2009
Skills
- Python
- SQL
- Tableau
- Pandas
- NumPy
- TensorFlow
- Autoencoders
- EDA
- Seaborn
- Microsoft Excel
- Data visualization
Certification
- CalTech Post Graduate Program in Data Science, Online, 2025, Developed hands-on expertise in Python, Machine Learning, SQL, and Data Visualization., Built end-to-end predictive models and dashboards for real-world projects in business and analytics., Strengthened skills in EDA, feature engineering, and model deployment using modern data tools.
- Executive Program in Algorithmic Trading, Online, 2020, Gained proficiency in Python-based quantitative analysis and time-series modeling., Designed and backtested automated trading strategies using data-driven methods.
Projects
- Stock Price Prediction Using Recurrent Neural Networks (LSTM) with Deep Learning- This project implements a Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM) to predict future stock prices using historical stock market data. The model learns temporal patterns from past prices and generates predictions for future market trends.
- Employee Turnover Projection using Machine Learning Techniques, Modeling of employee turnover using machine learning techniques, Used machine learning classification algorithms on HR data to predict employee attrition., Generated heatmap of correlation matrix (using Seaborn)., Plotted histograms with KDE for satisfaction level, evaluation score, and average monthly hour.
Timeline
Manager
Ajay Agri Works
02.2016 - Current
Assistant Manager
Xsys Technologies
06.2014 - 12.2015
Associate Sales Manager
Xsys Technologies
07.2010 - 07.2012
Post-Graduate Diploma - Business and Finance
University of Lancaster
Bachelor - Business Administration
Asia Pacific Institute of Management