Dhananjay Kumar Email & Phone Number

United States, Us

1. Actively leading the creation of cutting-edge AI-based accounting products, utilizing both proprietary and open-source Large Language Models (LLMs) including OpenAI and Llama to transform and innovate within the finance industry.2. Skilled in fine-tuning techniques such as Parameter-Efficient Fine-Tuning (PEFT), Sparse Fine-Tuning (SFT), and Data Point Optimization (DPO), tailoring LLMs like Llama and Mistral to meet domain specific industry needs.3. Deep understanding of transformer architectures and their applications and proficient in using Large Language Models (LLMs) to enhance decision-making and automate key financial processes, driving significant improvements in operational workflows.4. Built accounting specific information retrieval system - hybrid search engine leveraging both vector and keyword search for easy access of the relevant accounting information5. Built pipeline of potential IPOs and new listings including SPACs (special purpose acquisition company), both near and long-term.6. Leading data mining exercise to extract information from SEC EDGAR database including Form 10-K, Form S-1 for companies going for IPO and Form 8-K7. Leading research activities to understand and analyze venture capitalist and private equity investor exit strategies.8. Successfully rolled out Snowflake data warehouse implementation for Connor Group9. Established end to end production environment for Data Science on Microsoft Azure including Azure Machine Learning, Azure Cognitive Services and Azure VMs.10. Created ETL environment using Azure Data Factory and data pipelines using Python, SnowSQL11. Leading team involved in building machine learning models for predicting final exit/deal outcomes for private companies like acquisition, going public i.e IPO, LBO etc. based on internal and external data sources like PitchBook, Crunchbase etc.

Secaucus, Nj, Us

1. Built a robust data science practice that supports different cross functional teams within the organization.2. Established the necessary cloud infrastructure for Data Science like Jupyter Notebooks on EC2, Docker, Snowflake integration and Data Pipeline on AWS.3. Developed customer traffic based Retail Store Labor Optimization Model using Constraint Programing and Genetic Algorithm, thus saving million of dollars in labor cost and increasing sales by increasing conversion.4. Developed Retail Store Site Selector Model based on various geo-spatial and demographic features. A Regression model was developed using CatBoost Regression Model predicting annual sales based on site location. Another classification model based on Keras-Tensorflow leveraging Satellite imagery and other geospatial features was built to identify optimum retail locations.5. Built an automated lead extraction tool in python leveraging google and yelp APIs6. Developed Direct Mail Campaign Machine Learning Model to identify ideal customers suitable for sending discount coupons. Various Machine Learning algorithms such as Random Forest, Logistic Regression and Neural Network were leverage to create this model.7. Developed Financial Time Series Forecasting (ARIMA-SARIMAX, Prophet) Model.8. Built customer Recency Frequency Monetary (RFM) Model for better customer segmentation and prioritization.

Woodbridge, New Jersey, Us

Worked as Enterprise Architect and lead consultant for various clients of Knack Systems such as Hewlett Packard, Sony, Sharp Electronics, Electrolux, Ernst & Young, American Standard

Johannesburg , Gauteng, Za

As a team member of the Project KOPANO team in Standard Bank, I accomplished following tasks:1. Built business interfaces for internal crm team. 2. Achieved data integrity of customer data by implementing necessary business logic in sap3. Established the foundation for an integrated platform for the Core Banking program4. Was involved in the migration of 5 million accounts from the Branch Accounting System to SAP Banking Services

Master Of Science - Ms, Data Science

Be, Electronics & Communicaton