Niranjan Cholendiran

• Assisting the speech team in training and fine-tuning deep learning models for Automatic Speech Recognition of students and teachers in classrooms using recorded multimodal (audio and video) data.

• Built a Text-to-SQL model using AI agents and graphs to simplify query processes. • Developed a multi-document RAG system with AI agents and prompt engineering to enhance response relevancy. • Designed an Edge AI architecture with Kafka and AWS for real-time stream processing. • Created a TSQL AI Summarizer and Migrator to streamline data migrations.

On-boarding Mentor: • Mentored fresher hires to ensure a smooth transition into the industry. • Formulated training plans, conducted professional skills training, organized group activities to encourage participation, and provided constructive feedback.

Consumer Lifecycle Analytics: • Handled Consumer Lifecycle Analytics for a leading European sportswear manufacturer, primarily focusing on increasing consumer acquisition and driving sales growth. • Responsible for establishing KPI targets, conducting performance analysis, testing hypothesis, extracting actionable insights, building reports and dashboards, and delivering bi-weekly recommendations for business decisions. • Designed a KPI framework along with a dashboard encompassing essential KPIs aligned with business goals, incorporating technical and business metrics, to monitor consumer lifecycle performance, empowering stakeholders to make informed decisions. • Built a data quality dashboard capable of spotting data transformation errors, such as upload discrepancies and missing values, that facilitated straightforward and early detection of Data Quality issues. • Engineered Alteryx workflows to automate the generation of graphs and reports for monthly performance reviews, reducing preparation time by 3 days and ensuring timely and accurate reporting.

Python and Game Development Teacher: • Instructed Python and Game Development to high school and middle school students. • Conducted weekend classes ensuring the learning outcomes, demo classes to enroll prospective students, facilitated group discussions to encourage student interactions, evaluated assignments, and maintained regular communication with parents. • Offered personalized one-on-one tutoring to nine students, extending additional guidance and support to those seeking further assistance. • Tutored nine students and provided one-on-one tutoring for ones who required extra guidance.

• Built a regression model to predict the percentage of a student based on the number of study hours they spent studying with an MAE < 5 percentage points

Coursework: • STAT 5000: Statistical Methods and Applications I • STAT 5010: Statistical Methods and Applications II • CSCI 5502: Data Mining • CSCI 5622: Machine Learning • INFO 5871: Text Mining • CSCI 5501: Data Structures and Algorithm • CSCI 5253: Datacenter Scale Computing