ABHINAV KOLA

ABHINAV KOLA

AI/ML Engineer | Python, TensorFlow, PyTorch | 95% Accuracy in Image Classification | Generative AI & Chatbot Innovator | Open from local to Global Collaboration

Vijayawada, IndiaArtificial Intelligence, Machine Learning, and Data Analytics
1roles
63skills
3education
8credentials

About

Driven AI/ML engineer passionate about solving complex real-world problems through innovative, data-driven solutions. I specialize in building and deploying robust machine learning models using Python, TensorFlow, PyTorch, and state-of-the-art deep learning techniques. With expertise spanning computer vision, natural language processing (NLP), and generative AI, I have delivered tangible results such as achieving 95% accuracy in image classification and developing AI-powered chatbots leveraging large language models and tools like Langchain and HuggingFace. I help organizations unlock insights from data, automate processes, and create intelligent systems that drive impactful business outcomes. Whether it’s enhancing visual recognition systems or building conversational AI to improve user experiences, I combine strong technical skills with creative problem-solving to deliver scalable, efficient solutions. Certified in Data Science (IIT Roorkee) and Machine Learning (Udemy), and enriched by hands-on experience through internships and workshops (IIT Hyderabad, Kaggle, Google), I continuously expand my knowledge to stay at the cutting edge of AI innovation. I am an active contributor to global AI/ML communities, fostering collaboration and knowledge sharing. What sets me apart is my commitment to practical impact, innovation, and teamwork. I’m excited to partner with forward-thinking professionals and organizations to build the future of intelligent technologies. Let’s connect and create transformative AI solutions together.

Experience

Data Analyst Intern | LaunchED Global (Feb 2025 – May 2025, Remote, India)

LaunchED Global

Feb 2025 - May 2025 · India

Executed end-to-end statistical analysis on diverse datasets using Python, extracting actionable insights that supported project decision-making and strategic planning. Developed and optimized Python scripts for data cleaning and transformation, enhancing data processing efficiency and reducing manual effort by approximately 15%. Designed and implemented data visualizations (e.g., interactive charts, comprehensive dashboards) to clearly communicate complex findings, improving stakeholder comprehension of key performance indicators (KPIs). Applied core data science principles within a structured mentorship program, building foundational skills in data modeling and predictive analytics to solve real-world problems. Engaged in ongoing mentorship to acquire industry best practices and real-world data science skills, preparing for future AI/ML roles.

Education

KL University

Master of Computer Applications - MCA, Artificial Intelligence

2024 - 2026

KL University, Guntur, India

Master of Computer Applications, AI & ML specialization

Andhra Loyola College, Vijayawada, India

Bachelor of Science, Mathematics, Statistics & Computer Science

Skills

Machine Learning BasicsEDAStatistical Data AnalysisAnalytical SkillsData AnalyticsK-Nearest Neighbors (KNN)Support Vector Machine (SVM)Logistic RegressionXGBoostPrincipal Component AnalysisLDAMACHINE LEARNING WITH PYTHONR (Programming Language)Decision TreesRandom ForestMachine Learning AlgorithmsConvolutional Neural Networks (CNN)Creative IdeationScikit-LearnPattern RecognitionComputer ScienceDeep LearningHadoopSQLJavaPython (Programming Language)Computer VisionPrompt EngineeringGenerative AILarge Language Models (LLM)Data Modelingdata PreprocessingData ScienceArtificial Intelligence (AI)Data AnalysisMachine LearningPandas (Software)Data VisualizationNatural Language Processing (NLP)PythonRJavaScriptTensorFlowPyTorchKerasRandomForestRegressorPandasNumPyMatplotlibSeabornNLPNeural NetworksRegressionClassificationClusteringData CleaningFeature EngineeringData WranglingGoogle ColabHugging FaceLangChainGradioVector Databases

Projects

Sales Prediction Model (Retail Analytics)

Built an end-to-end sales prediction model using Python, Pandas, NumPy, Scikit-learn, and RandomForestRegressor. Performed missing value imputation, category standardization, feature engineering, exploratory data analysis, and achieved an average cross-validated RMSE of -444.82.

AI-Powered Chatbot (NLP & Conversational AI)

Implemented text classification, sentiment analysis, and context-aware conversational responses. Developed a Gradio-based user interface with Vector Database integration for semantic search, using Python, Deep Learning, LangChain, and Hugging Face.