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 and deep learning models to solve complex real-world problems.
Ingest
SQL, SPSS, Satellite Data
Process
Pandas, NumPy, SSIS
Predict
PyTorch, Scikit-learn
Deliver
Interactive Dashboards
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
- Produce top-notch, budget-conscious scripts with IBM SPSS for qualitative and quantitative healthcare research.
- Implement scripting standards for sample management, quota control, and secure data retrieval from database servers.
- Develop real-time interactive dashboards and establish secure connections to databases using SQL queries to improve data quality.
- Conduct internal Python training sessions for the team, covering foundational programming, visualization libraries, and ML deployment.
- Automate repetitive column-counting tasks using Python, significantly boosting efficiency and integrating ID encryption algorithms for client security.
Spatial Data Specialist
- Digitized map layers using high-resolution satellite imagery, accurately encoding features such as road networks, sensors, and buildings.
- Collaborated in agile sprint cycles, participating in daily standups, scrum planning, and metric tracking.
- Analyzed geographical datasets to extract metrics on map accuracy and completeness, visualizing trends to assist executive decision-making.
- Presented a machine learning solution in a hackathon for positioning EV e-charging stations at optimal intervals.
- Engineered predictive traffic models by cleaning, transforming, and modeling traffic sensor data using traditional machine learning algorithms and neural networks.
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.
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
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
M.Sc. in Data Science & Artificial Intelligence
Grade: CGPA: 9.0 / 10 (A+)
Rigorous study covering core aspects of data processing, machine learning theory, predictive models, data mining, statistics, neural networks, and database administration.
B.Sc. in Computer Science
Grade: CGPA: 7.36 / 10 (B+)
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