Dharmesh Gadhiya

Data Scientist with 1+ year of experience in machine learning, time-series forecasting, and predictive analytics. Proficient in Python, feature engineering, model tuning, evaluation, and deployment. Experienced in delivering stakeholder insights, customer segmentation, and supporting data-driven business decision-making, with a strong foundation in scalable software development from 5+ years in Android engineering.

Data Scientist at Istosy Infotech (2024-10 – Present)

• Developed machine learning models on 50K+ customer records for behavior analysis and sales forecasting, boosting prediction accuracy by 15–20%, and delivered stakeholder insights to support sales strategy and decision-making.
• Conducted EDA and crafted 20+ high-impact features, strengthening model performance and interpretability.
• Addressed missing data and class imbalance using robust preprocessing strategies, increasing model stability by 25%.
• Refined model performance through hyperparameter tuning and cross-validation, elevating accuracy from 72% to 83%.
• Built an NLP-based recommendation system using TF-IDF and cosine similarity, increasing product relevance by 25%.

Data Science Training & Internship at AlmaBetter (2023-09 – 2024-05)

• Completed 6 industry-grade projects covering EDA, predictive models, NLP, SQL, Statistics using Python.
• Trained and evaluated 5+ supervised and unsupervised ML models, delivered 3 Power BI dashboards with actionable business insights.

Android Developer at QfonApp Limited (2022-04 – 2024-04)

• Engineered and deployed 5+ scalable Android applications using Kotlin, Java, Firebase, and REST APIs, serving 100K+ active users. Implemented Clean Architecture and performance optimizations, reducing app load time by ~25%.

MCA – Gujarat Technological University (GTU)

BCA – Veer Narmad South Gujarat University (VNSGU)