07/11/2025 updated

RB
100 % available

AI and Machine Learning Engineer with B.Tech CSE

USA
+null km
B.Tech CSE
USA
+null km
B.Tech CSE

Profile attachments

Resume Reetikesh Bali (1).pdf

Artificial IntelligenceAnalytic ApplicationsData AnalysisArtificial Neural NetworksComputer VisionCloud ComputingImage ProcessingPython (Programming Language)Machine LearningNumPyPredictive AnalyticsVisualizationRaw DataRespiratory SystemsStatisticsData ProcessingData ScienceDeep LearningInternet of Things (IoT)pandasMatplotlib
Machine Learning
Expertise in developing AI-powered applications using various ML libraries and frameworks for predictive intelligence and data analysis.

Python Programming
Advanced Python skills with proficiency in libraries like Pandas, NumPy, Matplotlib and Seaborn for data manipulation, analysis and visualization.

Deep Learning
Knowledge of neural networks and deep learning techniques applied to complex problems like disease detection from respiratory sounds.

Data Handling
Experience with the complete data science lifecycle from cleaning to deployment, extracting meaningful insights from datasets.

Computer Vision
Implementation of computer vision techniques for image processing and analysis applications.

Data Analysis
Skills in transforming raw data into actionable insights through statistical analysis and visualization techniques.

Cloud and IoT
Foundation knowledge in Cloud IoT Edge ML and Internet of Things technologies.

Languages

EnglishFluent

Project history

ANN DOOT - Empowering farmers with predictive intelligence and transparent decisions

Personal Project
Developed an AI powered streamlit app to assist farmers with plant disease detection, crop and fertilizer recommendations enriched with LIME for explainable leaf disease and voice input and a bilingual interface (English and Hindi) for enhanced accessibility.

Summer Training Internship in the field of Data Analyst

MIET Jammu
Leveraged Python (Pandas, NumPy) for data cleaning, manipulation, and analysis. Developed data visualizations and reports using Matplotlib and Seaborn. Gained experience in extracting insights from datasets to inform business decisions.

Airborne disease detection using various respiratory sounds with deep learning

Personal Project
A cutting-edge approach to detect various airborne diseases like tuberculosis, pneumonia and COVID-19 by capturing and analyzing subtle nuances present in respiratory sounds (cough, breath).

Summer Training Internship in the field of Data Science

Nucleon, IIT Jammu
Mastered the data science lifecycle, from cleaning to deployment. Gained hands-on experience with Python ML libraries and model evaluation. Improved data visualization and communication of complex insights.

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