Maithilee Dongre

2.5 years as data Scientist! Proficient in Python, Numpy, matplotlib, seaborn, pandas, SQL Statistics, ML skilled in DL, ANN,CNN, NLP,RNN, LSTM Generative AI along chain ,RAG ,Finetuning,LLM ,Llama, Mistral, Hugging Face, FAISS,VectorDB, embedding model

Data Scientist - Vasai - Vasai

(2025-11 - 2026-02)

Unified Mentor

• Data collection from various sources and transformation by using pandas , numpy libraries .
• Data cleaning , pre-process, and explore datasets from different differrent resources.
• Performed statistical analysis techniques like differential and inferential analysis , T test 1 sample and 2 sample , Z test , F test. Data modelling using machine learning algorithms like Supervised and Non-Supervised (ML), deep learning, Neural Networks, NLP , LSTM .
• Develop and implement predictive models and algorithms to solve specific business problems.
• Data Visualization using matplotlib, seaborn libraries to get clear and compelling dashboards and reports.
• Done train test splitting , finding accuracy score , classification report , confusion matrix to get correct results .

Business Analyst - Khuspal Industry - Vasai

(2024-05 - 2025-11)

• Worked on Power BI and Advanced Excel created calculated columns, measures, tables, reports and dashboard on Power BI Desktop using Aggregate function in DAX.
• Checking customer comments for self-brand product.
• Data Collection from Python Script, SQL database , folder, web, Password protected data etc from different resources .
• Prepared PBI presentations for Textile reports for business solutions.
• Analyzed business operations and production inefficiencies saving companies excess over time.
• Evaluating current business processes and identifying potential areas for improvement.
• collaborate with other team members to translate data insights into actionable strategies

Data Scientist - Intellipaat Software Solutions Pvt.Ltd. - Chennai, India

(2021-08 - 2023-08)

• Checking and pre-processing of structured and unstructured data.
• Actively exploring data for specific use cases and Creating measurable insights from the data.
• Undertaking data collection, pre-processing and analysis.
• Exploring statistical analysis that could be applied to the data.
• Model selection and training to address business problems.
• Data analysis and data visualization techniques for Presenting information.
• Analyse information to discover trends and patterns.
• Build projects on machine-learning algorithms Linear Regression, Logistic Regression, DT, Random Forest, PCA, K means clustering.
• Combine models through ensemble modelling Bagging and Boosting Technique.
• Propose solutions and strategies to business challenges.
• Project on Artificial Neural Networks ,forward backword propegation , different kind of loss, activation functions , optimizers .
• Image preprocessing by using convolutional Neural Networks , filters , padding , pulling .
• tensorflow , Recurrent Neural Networks, LSTM Projects .
• Chat GPT projects , langchain , vector database , open AI techniques , fine tuning , hugging face , gemini , groqe to fasten the data processing .

PGDBM+MBA - Marketing - MIT

B.Tech - Textile and Manufacturing - DKTE - Ichalkaranji

Diploma - Textile Manufacturing - Government Polytechnic - Nagpur