• Developed a predictive model (Random Forest, SQL, Tableau, Salesforce) using previous historical data to forecast Bookings in the upcoming quarter with 80 % Accuracy.• Applied ARIMA and SARIMAX models to accurately forecast Monthly Recurring Revenue (MRR) for the upcoming month with an 85% precision rate.• Delivering reports and updates on a regular basis and driving productivity within a team by using Python, SQL, Tableau/Qlik and Excel.

• Designed and implemented a behavioral-based recommendation system on our platform, resulting in a 20% reduction in marking costs through streamlined communication (SMS, notification) and a 30% decrease in manual intervention.• Proactively executed data-related tasks in collaboration with diverse teams such as Sales, Customer Success, and Marketing. Seamlessly extracted data from varied sources, including MySQL, MongoDB, and Neo4j Graph DB, to meet stakeholder requirements.•… Show more • Designed and implemented a behavioral-based recommendation system on our platform, resulting in a 20% reduction in marking costs through streamlined communication (SMS, notification) and a 30% decrease in manual intervention.• Proactively executed data-related tasks in collaboration with diverse teams such as Sales, Customer Success, and Marketing. Seamlessly extracted data from varied sources, including MySQL, MongoDB, and Neo4j Graph DB, to meet stakeholder requirements.• Spearheaded the design and implementation of intuitive dashboards using Tableau, tailored to cater to both management and various stakeholders' analytical needs. Collaborated with cross-functional teams to identify data-driven solutions to business challenges such as customer retention, user dropout etc.• Automated recurring tasks, optimizing operational efficiency, using Python• Collaborative team player skilled in data modeling, result evaluation, and application of diverse ML algorithms to enhance predictive outcomes.• Proficient in validation, Time Series Forecasting, and Sales Analytics, contributing to informed decision-making.• Doing Exploratory Data Analysis using different Python libraries i.e., Pandas, NumPy, Matplotlib, Seaborn, Openpyxl etc.• Played a pivotal role in nurturing a team of 3-4 Data Analysts through hands-on training and guidance, fostering a culture of continuous learning and excellence. Show less

• Engineered a Machine Learning Model employing (SVM, Decision Tree, Random Forest, Python, SQL, and Advanced Excel) to discern the cleanest city, drawing insights from comprehensive analysis of historical data with 74 % Accuracy.• Scoring: Analyze the given indicators & create the formulas to Score best performing cities on the basis of cleanest during Swachh Survekshan-2021.• Validation: Collect Validation data from different team, to check claims on the basis of IVM (Independent… Show more • Engineered a Machine Learning Model employing (SVM, Decision Tree, Random Forest, Python, SQL, and Advanced Excel) to discern the cleanest city, drawing insights from comprehensive analysis of historical data with 74 % Accuracy.• Scoring: Analyze the given indicators & create the formulas to Score best performing cities on the basis of cleanest during Swachh Survekshan-2021.• Validation: Collect Validation data from different team, to check claims on the basis of IVM (Independent Validation Matrix).• Achieved automation of day-long processes to 15 minutes using Python, analyzed patterns in citizen names and cleaned 20 million transaction records using Python and reducing error by approx. 25%• Conducted comprehensive Python and Excel training sessions for 20-30 employees, enhancing their proficiency in data analysis and automation.• TEQIP, led by the Ministry of Education, India, enhances technical education. TEQIP III (2017-2021) improves engineering education, emphasizing industry feedback. Quality Council of India assesses employer satisfaction and engineering skills.• Strategic data analysis with expertise in Python, and advanced Excel for data cleaning, statistical analysis, and insightful chart creation.• Proficient in developing cluster and regression analyses, utilizing statistical techniques, and extracting inferences to enhance survey findings. Show less

• Rummy Churn Model | Rummy: - Built a predictive model to identify who is going to churn the next day (Random Forest, Python, SQL, Hive) and Model help to run the offers and retention campaign with Precision of 80% and Recall > 81 %.• Mega Table Size Prediction | Fantasy:- Built a predictive model to predict the number of orders in fantasy match for Mega Table (Quasi Poisson Regression Model, Python, SQL ,Hive)• Experienced professional in Statistics and Data Analytics using Python… Show more • Rummy Churn Model | Rummy: - Built a predictive model to identify who is going to churn the next day (Random Forest, Python, SQL, Hive) and Model help to run the offers and retention campaign with Precision of 80% and Recall > 81 %.• Mega Table Size Prediction | Fantasy:- Built a predictive model to predict the number of orders in fantasy match for Mega Table (Quasi Poisson Regression Model, Python, SQL ,Hive)• Experienced professional in Statistics and Data Analytics using Python language, Hive, SQL programming over complex datasets.• Data professional experienced in data acquisition, predictive modeling, SQL optimization, and automated report generation using SQL andPython.• Successful in boosting customer growth through retention and dormant campaigns, tracking customer behavior, and contributing to monthly growth reviews while actively seeking new ideas for company development. Show less