Hi, I'am Kunal
『 Data Scientist 』
A passionate Data Scientist, AI practitioner with over 5 years of
experience in building data driven AI-ML solutions.
Skilled in Data Analytics, AI-ML Key Stacks, Data Science, Python, NLP, Data Pipelines, and
AI Automations.
◜About Me◞
⦿ My Introduction ⦿
➤ Expertise in AI-ML techniques, Data Science, Python, Data Analytics, AI tools.
➤ I enjoy the journey with data, new people, AI-ML keys, data pipelines, cloud.
➤ Productive | Strategic thinker | Mentor | Motivated | Quick learner | Problem solver.
➤ I like to play carrom, badminton, pianist.
➤ I enjoy the journey with data, new people, AI-ML keys, data pipelines, cloud.
➤ Productive | Strategic thinker | Mentor | Motivated | Quick learner | Problem solver.
➤ I like to play carrom, badminton, pianist.
Years
Experience
Experience
Data Driven
Projects
Projects
Mentorship On
DS Aspects
DS Aspects
◜Key Skills◞
⦿ My Technical Expertise With Explorations ⦿Data Science
Technologies | Modules | LanguagesPython, Shell Scripting, SQL, C/C++
80%DS Algorithms / ML Modeling (ML, NLP, DL)
78%Pandas, NumPy, Scikit-learn, Statmodels, Prophet, PyCaret, AutoML, SciPy, Shap
75%Matplotlib, Seaborn, Plotly, Tableau
70%Cloud / ETL Services
Cloud | ETL | Data ManagementStreamlit, Heroku, Flask, Gradio
80%Vertex AI, Airflow, BigQuery, GCS, DAG
70%S3, Lambda, EC2, RDS, SNS, CloudWatch
70%AI-ML Frameworks
AI-ML Tools | NLP | Deep LearningOpenAI, LangChain, LLM, GPT, Gemini, HF
72%TensorFlow, Karas, NN, LSTM, VectorDB
65%FastText, Gensim, spaCy, TextBlob, NLTK
62%IDE / Tools
Platforms | SDK | WorkflowsJupyter Notebooks, PyCharm, VS Code
80%Google Colab, Spider, GitHub, Web API
65%Window, Linux, Jira, Confluence, O365
60%◜Qualification◞
⦿ My Personal Journey ⦿◜Portfolio◞
⦿ My Contributions And Collaborations ⦿Email Automation With ETL Scheduler
Email Automation With ETL Scheduler
Collect client data from Outlook, FTP, Web servers and deliver reports (Html / Excel / Text) with automated ETL process.The ETL process is scheduled in scheduler, so it is triggered as per scheduled time and automated report is generated in few minutes.
Customer Churn AutoML Prediction
Customer Churn AutoML Predictive Analytics
Predicting which customer is important to business, on behavioural patterns leaders takes decisions. ML AutoML "PyCaret" is used with streamlit appliation.Understanding why customers like or don't like to purchase more goods / services is essential to success for firm.
Object Detection Using MobilenetSSD
Object Detection Using MobilenetSSD
Object detection using based on Computer Vision technique which is detecting the instances of semantic objects.Model "MobilenetSSD" computes the bounding boxes and category of an object from an input image and render the percentage with object names.
Agricultural Nitrous Oxide (N2O) Emissions Predictions
Agricultural Nitrous Oxide (N2O) Emissions Predictions In India Using ML With Explanable AI
Quantitative predections using ML model with Explainable AI learns relationship from real farming data and extract the pattern which helps in indetification of critical response factors.Idea and data is collected from a published paper in Environmental Research Department India. This is colaboarted project with Indian Engineering Team.
You have any new ideas / data trends ?
Contact me now. I am happy to share my thoughts with AI-ML touch.
Kindly follow me on social platforms. Let's Learn AI Togather !!!
◜Testimonials◞
⦿ Connections Hand-shaking And Saying About Me ⦿Kunal is quick learner and anlytical thinker. He was in-house project module and delivered automated ML pipeline based on NLP and stats mechanisms.
