Hi, I'm Siddhesh Kadam.
Exhilarating AI adventure since 2020.
Data Integration & AI Specialist with over 4 years of experience. I specialize in building data pipelines, creating real-time dashboards, spatial data processing, and implementing machine learning & deep learning models to solve complex real-world problems.
AI & Spatial Playground
Experience my work firsthand. Interact with live simulations of data pipelines, model training, and spatial optimizations.
Pipeline Configuration
Configure parameters to simulate the execution of a data science pipeline. The workflow ingests survey, satellite, or log data, executes cleaning transforms, and trains the selected ML model in real-time.
Live Metrics & Outputs
Spatial Optimization
Place EV Charging Stations on the grid to optimize routing. The algorithm recalculates distance intervals, overlapping coverage, and traffic density influence in real-time.
Mumbai Spatial GIS Overlay
Bridging Data Science & Engineering
Passionate about transforming raw, disconnected data into production-ready analytical pipelines and intelligence.
As a Data Integration Specialist at Ipsos, I design, clean, and integrate large-scale quantitative and qualitative research datasets. I'm highly experienced in writing optimized scripts, database queries, and automating workflows.
Prior to Ipsos, I worked as a Spatial Data Specialist at HERE Technologies, where I leveraged satellite imagery, map sensors, and custom machine learning algorithms for geographic intelligence and predictive modeling.
Work Experience
Data Integration Specialist
- Domain: Healthcare - Qualitative and Quantitative Research techniques.
- Team: UK Data Processing.
- Producing top-notch, budget-conscious scripts with IBM SPSS.
- Implementing scripting standards for tasks such as sample management, quota management, and data retrieval from a server.
- Developing real-time dashboards and connecting databases using SQL queries and enhancing data quality.
- Providing internal Python training to the team, covering the basics of Python programming, data visualization, and some aspects of machine learning implementation.
- Developed an automated Python workflow for processing multi-column survey datasets, cutting manual processing time by 30% and eliminating data-entry errors across the UK Data Processing team.
Spatial Data Specialist
- Domain: Geographic information System (Sensor, Image, Satellite Data)
- Team: EMEA Team, RSD Team
- Digitizing maps using satellite imagery, accurately capturing and encoding geographical features from satellite images.
- Analyzed data to extract meaningful metrics and effectively visualized data for decision-making.
- Work closely with executives to address queries and find data-driven solutions. By leveraging data insights, provided accurate results to inform decision-making.
- Participated in a hackathon where I provided a solution for a use case involving the establishment of e-charging stations at specific intervals. This solution utilized Python and various machine learning techniques.
- Understanding traffic data by examining its characteristics, trends, and relevant features, cleaning and enhancing the data through techniques like feature engineering. Leveraging both traditional machine learning techniques and neural networks to create predictive models.
Skills & Expertise
Here are the programming languages, frameworks, and tools that I specialize in.
Featured Projects
A collection of academic and side projects displaying data analysis, computer vision, and machine learning.
Cartoon Image
An image processing pipeline designed using Python and OpenCV to transform raw photographic images into stylized, cartoonified artworks. Utilizes bilateral filtering for edge preservation and adaptive thresholding for outline creation.
Emotion Detection Model
A custom deep convolutional neural network built with TensorFlow and Keras to classify human expressions. Features drop-out regularization, batch normalization, and hyperparameter optimization to prevent overfitting and boost model accuracy.
Kaggle Notebook Expert
Achieved Kaggle Notebook Expert status by publishing clean, structured pipelines covering EDA, Logistic Regression, Random Forest classification, and Optuna-based hyperparameter tuning. High focus on interactive plotting and structured storytelling.
Sales Agent (Email Agent)
A multi-agent cold outreach system. The first agent processes target domain names to discover similar companies and draft highly personalized, human-written introduction emails. The second agent dynamically extracts target contact email addresses, automating the entire pipeline while keeping the outreach natural and authentic.
Certifications & Licenses
A collection of completed certifications verifying technical and analytical domains.
Lean Six Sigma White Belt
Advanced Google Analytics
Python for Data Science
Statistics for Data Science
Certificate Program in Python Programming
Career Edge - Knockdown the Lockdown
Education
Master of Science in Data Science & Artificial Intelligence
Grade: CGPA: 9 / 10
Rigorous study covering core aspects of data processing, machine learning theory, predictive models, data mining, statistics, neural networks, and database administration.
Bachelor of Science in Computer Science
Grade: CGPA: 7.36 / 10
Broad computer science foundation covering algorithms, object-oriented programming (C, C++), database design (SQL), software engineering, and networking. Active NCC Cadet.
Let's work together
Have an interesting problem to solve, a pipeline to build, or just want to chat about data science? Reach out directly.
Email Address
Phone Number
Location
Mumbai, Maharashtra, India