Shraddha Shelar

Results-oriented Data Scientist with a master’s degree in Artificial Intelligence from Munster Technological University and over 4+ years of experience in FMCG and telecom. Specializing in enhancing data streaming processes, proficient in Python and SQL. Possesses strong communication and interpersonal skills, passionate about innovation and problem-solving. Committed to delivering measurable results and contributing to data-driven decision-making.

As a Machine Learning Specialist at Sunny Numbers, I spearheaded the development of a personalized course recommendation system, resulting in a 16% increase in student engagement and success. I collaborated closely with diverse stakeholders to understand business requirements and secured necessary approvals. Through continuous refinement efforts, I achieved a 30% improvement in personalized course matches and a 40% reduction in irrelevant recommendations.

During my tenure as a Data Science Analyst at Tiger Analytics, I implemented advanced machine learning techniques to enhance prediction accuracy, resulting in a 25% reduction in forecasting errors. Additionally, I played a key role in designing and maintaining ML pipelines, improving data processing efficiency by 6.8% and ensuring precise Return on Advertising Spend (RoAS) measurement. Collaborating across teams, I contributed to a notable 23.68% improvement in customer churn prediction accuracy.

As a Senior Systems Engineer - Analyst at Infosys, I led strategic adjustments to improve dashboard engagement by 33% and successfully trained junior team members, increasing team productivity by 40%. I ensured high data accessibility rates and developed a Python tool for Prescriptive Analysis, enhancing decision-making accuracy by 15%. Proficient in various technologies including OBIEE, Oracle SQL, and Python, I optimized processes and achieved a 32.2% efficiency gain within the tech stack. Additionally, I applied data engineering skills to optimize big data ETL pipelines by 13.3% and monitor performance.

I completed my master's degree in Artificial Intelligence, which equipped me with advanced knowledge and techniques essential for developing sophisticated data models and algorithms. This education provided me with a strong foundation in machine learning, deep learning, natural language processing, and other key areas of AI. Additionally, I engaged in practical projects and research, allowing me to apply theoretical concepts to real-world scenarios and develop practical problem-solving skills. My master's program also emphasized collaboration and communication, preparing me to effectively work in multidisciplinary teams and communicate complex technical concepts to diverse audiences. Overall, my education in Artificial Intelligence has been instrumental in shaping my career as a Data Scientist and Machine Learning Specialist.