Data Scientist with strong logical reasoning and math background, proficient at using statistical modeling, predictive modeling, data processing, data visualization, and data mining algorithms using Python, to solve challenging business problems. Involved in Python open source community and passionate about deep reinforcement learning.
Accountable for transforming unstructured visual data into labelled data on which machine learning algorithms can be applied. Responsible for end-to-end delivery of projects related to data labelling, truth images, brand, and logo identical. Observing and reporting the anomalies in the data transformation tool to the developer's team.
Organized projection data in an orderly way for executive management. Contribute to the planning of assigned audits including audit scope and risk assessments. Was not able to continue because company was downsizing due to COVID-19.
Organize, extrapolate, and disseminate data to be used for drawing conclusions about the success of current methods. Worked with advanced calculations to conclude data findings. Assisted superiors with interpreting data and compiling it in an organized manner.
Managing the functioning and processing of the company's orders and processes to ensure the continuing of operations. Lead and mentored a team of 4 executives within 3 months of joining.
Studied and worked with the instruments that work on the principle of Light Detection and Ranging(LIDAR) at The Defense Research and Development Organization (DRDO), an agency of the Republic of India, responsible for the development of technology for use by the military, headquartered in New Delhi, India. LIDAR is a remote sensing technology utilized by the Indian military for the purposes of the detection, identical, and precise measurement of the range of a target. Thoroughly studied, made observations, and presented a detailed report at The Defence Research And Development Organization.
Understanding the data, analysing the factors that drive the total credit card (Primary Card + Secondary Card) spend of 5000 customers to calculate the credit limit of each customer.
Developing customer segmentaon by summarising the usage behavior of 9000 acve credit cardholders during the last 6 months in order to define the markeng strategy.
Built a predicve retenon (or churn) model in order to idenfy which customers will not renew their newspaper subscripons for a Newspaper publishing company
Predicng department-wise store sales using limited historical markdown data. Modeling the effects of markdowns on the holiday weeks (Super Bowl, Labour Day, Thanksgiving, Christmas.) in the absence of complete historical data.
Certificate of professional Excellence. Certificate Number - ALB-SBA-22082020-691