AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Cultural Fit Analysis
Insufficient data due to a psychometric test score of 0. This score indicates a critical gap in assessing the candidate's logical reasoning, work attitude, stress handling, and team collaboration, which are fundamental for cultural and operational fit.
Soft Skills & Operational Fit
Insufficient data due to a psychometric test score of 0, which raises significant concerns regarding logical reasoning, work attitude, stress handling, and team collaboration. While the resume mentions collaboration and documentation, these claims are unvalidated by assessment.
AI Engineer with 2+ years in Data Science & Machine Learning
A DATA Professional with nearly 3 years of experience delivering Data Science & Al based solutions using Machine Learning, NLP and Generative Al with a proven track record of developing and deploying scalable models that reduced processing time by 40% and improved operational efficiency by 40%. Adept at translating complex business problems into actionable Al solutions, with strong expertise in end-to-end model development and cross-functional collaboration.
I2IT Pune
Bachelor of Engineering · Computer Engineering
August 1, 2019 – June 1, 2023
LTIMindtree (now LTM)
Senior Consultant (Data Science & Machine Learning)
June 1, 2023 – Present
Pune, Maharashtra, India
Software Engineer (DATA & Analytics Engineering)
Software Engineer (DATA & Analytics Engineering)
May 1, 2023 – May 31, 2023
Chennai, Tamil Nadu, India
Reviews Classification & Analysis Model
September 1, 2025 – April 1, 2026
Developed and fine-tuned a BERT-based review analysis model using TensorFlow/Keras, achieving 93% accuracy across multi-class sentiment labels. Built optimized tf.data pipelines for tokenization, attention masks, batching, and padded sequences, improving GPU training efficiency by 25%. Implemented advanced training strategies such as AdamW optimizer, learning-rate warm-up, and gradient clipping to ensure stable convergence. Deployed the model with Flask + Gunicorn, enabling real-time inference APIs with <600 ms latency.
IQIGAI AI Fellowship Challenge 2026
IQIGAI
May 1, 2026 – Present