Neel Singh
Fort Wayne,IN
Summary
Experienced in building deep learning-based market mix attribution models on AWS and developing a SaaS engine for personalized budget allocation recommendations. Designed time series data-driven approaches using the Bass diffusion model and Markov chain. Exceptional data analyst with a focus on critical social issues. Meticulous and accomplished artificial intelligence scientist skilled in compiling, transforming, and analyzing complex information. Expertise in machine learning and large dataset management, with a track record of identifying relationships and providing business solutions.
Overview
7
7
years of professional experience
Work History
ARTIFICIAL INTELLIGENCE SCIENTIST
DATA POEM(COGNITIVE ROI)
11.2022 - 07.2023
- Applied advanced Deep Learning techniques, such as Explainable AI methods, including Integrated Gradient and Shapely values to perform attribution modeling on marketing data.
- Ensured fair credit assignment to marketing touchpoints in customer journeys, optimizing attribution outcomes.
- Implemented non-linear, holistic, and multi-touch attribution strategies to enable clients to optimize marketing budgets for higher
Return on Investment (RoI). - Utilized the Bass diffusion model and Markov Chain Monte Carlo sampling to predict advertising ad stock, achieving accurate
objective and data-driven results. - Transformed clustering module by transitioning from linear methods like K-means and PCA to non-linear methods like DBSCAN
and t-SNE. - Improved cluster quality based on silhouette score, resulting in more accurate and meaningful clustering outcomes.
- Enhanced attribution outcomes by replacing the simple Deep Neural Network architecture with the advanced Tab Transformer
model. - Leveraged Tab Transformer to capture long-term dependencies in tabular time series data, leading to improved attribution
accuracy. - Developed automated code to streamline data extraction and upload processes to AWS S3 buckets.
- Implemented automated configuration of hyper-parameter space, optimizing model performance, and reducing manual effort
Data Analyst
Zenith
06.2016 - 03.2022
- As a data analyst at the Zenith Society for Socio-Legal Empowerment, my work has been instrumental in showcasing our organization's work and addressing pressing social issues.
- By highlighting important topics like labor rights, the COVID-19 migrant crisis, and tribal land settlement, I have offered outstanding analysis and insights from the data.This has helped the organization understand the ground-level situation and advocate for change.
- I have spearheaded technical capacity-building initiatives, equipping our staff with advanced data analysis skills and fostering a data-driven culture within the organization.
- Adhering to guidelines set by the Right to Information Act, I have led comprehensive data analysis efforts, collecting, cleaning, and interpreting socio-economic data.
- Have applied advanced exploratory data analysis techniques to extract valuable insights from diverse structured and unstructured datasets. This has contributed to informed decision-making and guided evidence-based initiatives.
- Through visually compelling data presentations, I have effectively communicated complex findings to stakeholders at all levels. This has ensured ease of comprehension and engagement.
- Played a pivotal role in promoting data-driven decision-making by providing actionable recommendations based on in-depth data analysis. Utilizing statistical modeling and machine learning techniques, I have uncovered patterns, trends, and correlations in complex datasets.
- Additionally, I have employed advanced data visualization tools such as Tableau or Power BI to create interactive dashboards and reports, facilitating effective data communication within the organization.
- Overall, my work as a data analyst at the Zenith Society for Socio Legal Empowerment has made a significant impact on our efforts to address critical social issues. By equipping the organization with data-driven insights and recommendations, I have helped drive evidence-based initiatives, enhance decision-making, and contribute to positive change in society.
Education
Master of Science - Computer Science
Purdue University
Fort Wayne, IN12.2024
POST GRADUATE PROGRAM - DATA SCIENCE AND ENGINEERING
GREAT LAKES INSTITUTE OF MANAGEMENT
10.2022
Bachelor of Engineering - Information Science
Visvesvaraya Technological University
06.2016
Skills
PROGRAMMING
Proficient: Python, SQL
Familiar: R programming; C; C; Java
LIBRARIES/FRAMEWORKS
Pandas Matplotlib Numpy Seaborn Tensorflow Keras NLTK Sklearn Ray Optuna Flask Django Linear/Logistic Regression/Classification Time Series analysis Hypothesis Testing Statistical Analysis/Modelling (Linear Algebra, Probability, and Calculus) Predictive Analytics Clustering (DBSCAN/K-Means) Web Scraping (Beautiful Soup) XGBoost Naive Bayes SVM Generative AI LLM Neural Networks Data Mining Keras
TOOLS/PLATFORMS
Git Jupyter Notebook Excel and Google Colab
MySQL Workbench VS Code
AWS Linux Postman Database Management System (DBMS) Financial Modeling Algorithmic Trading Time Series Forecasting ARIIMA Hadoop/Hive Spark TensorFlow/PyTorch
Big Data Analytics; Data Cleaning; Data Preprocessing; Cloud Computing (AWS [EC2, S3], Google Cloud, Azure)
FINANCIAL AWARENESS
Financial Markets and Instruments; Financial Modeling; Quantitative Methods; Option Pricing and derivatives: Fixed
Income Securities Econometrics and Macroeconomics Algorithmic Trading and Quantitative Strategies
Timeline
ARTIFICIAL INTELLIGENCE SCIENTIST
DATA POEM(COGNITIVE ROI)
11.2022 - 07.2023
Data Analyst
Zenith
06.2016 - 03.2022
Master of Science - Computer Science
Purdue University
POST GRADUATE PROGRAM - DATA SCIENCE AND ENGINEERING
GREAT LAKES INSTITUTE OF MANAGEMENT
Bachelor of Engineering - Information Science
Visvesvaraya Technological University
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