Damini Anfat

Analytical and results-driven professional with expertise in Product Management, Business Analysis, and Business Intelligence. Skilled in leveraging data-driven insights, automation, and technology to optimize processes and drive strategic decision-making. Passionate about developing innovative solutions that enhance business performance.

• Completed at 3RI Technologies, where I acquired expertise in data analysis, machine learning, and business intelligence.

• Ability to lead IT teams (teamwork) and collaborate effectively, with experience in managing Business Intelligence projects.
• Clear hands-on experience in Python libraries (Pandas, NumPy, Seaborn, Matplotlib, Scikit-learn) for EDA, data cleaning, feature engineering, and predictive modeling.
• Skilled in MySQL for data extraction, transformation, and efficient database management, and competent in using Tableau for dashboard creation and Alteryx Designer for data blending and automation.
• Solid understanding of algorithms such as Linear Regression, Logistic Regression, KNN, K-Means Clustering, and Random Forest.
• Experienced in User Acceptance Testing (UAT) for dashboards, decision-making, and problem-solving.
• Focused on expanding expertise in product management, business strategy, and relationship building.

Front-End and Workflow Optimization:    Mar 2023 – Present

· Managing Jira tickets, resolving combination errors.

· Developed a backend module, reducing error handling time by 25%.

· Modification of APIs for better data integration.

· Implemented messaging systems rulesets, reducing support queries by 25%

· Documented workflows for Edit Listing, Save as Free Listing, and Manage Campaign.

· Identification of blockers and streamlined processes, boosting efficiency by 30%.

· Created a pipeline for future projects.

· Improved project planning and execution by 40%.

Image Classification Model: Apr 2022 – Jun 2022

· Used Haar Cascades technique of OpenCV to detect face and eyes ie. Image Data cleaning.

Time Series Analysis:    Mar 2022 – Apr 2022

· Used fbprophet algorithm for time series prediction of NSE BANK data

for last 5 years and forecasts the same for the future.

Movie Recommendation System:  Dec 2021 – Mar 2022

This is a content-based recommendation system, using sentiment analysis with cosine similarity and the TF-IDF vectorization method