Resume
Skills &
Expertise
Python- Pandas, NumPy, Matplotlib, Seaborn, SciPy,scikit-learn ,Statsmodels ,TensorFlow,
PyTorch,NLTK ,Gensim ,Plotly ,PySpark, Scrapy, Beautiful Soup,
selenium
Supervised Learning :
Linear Regression, Logistic Regression, Decision Tree, Random Forest, SVM, KNN, Naïve Bayes, Gradient Boost, AdaBoost
XGBoost, LightGBM
Unsupervised Learning:
K-mean clustering, Hierarchical Clustering, Gaussian Mixture Models (GMM) ,PCA
Deep Learning:
ANN, CNN, Image Processing, Computer Vision, OpenCV, Natural Language Processing (NLP), RNN, LSTM, Transformers, Hugging Face, BERT, LLM, GPT
Programming Skills-
Python ,R, Git (version control)
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Statistical Analysis-
Probability distributions, Statistical distribution Hypothesis testing, Regression analysis, Experimental Design and A/B Testing
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Data Wrangling and Cleaning-
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Data Visualization-
Power BI (DAX, Data Modelling, Power Query), Folium, Geopandas, Plotly,
PowerApps
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Database-
SQL ,MySQL, PostgreSQL, MongoDB, or NoSQL databases.
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EDUCATION
2020-2021
PGD in Data Science & Machine Learning |
IMARTICUS LEARNING
2015-2019
B.TECH IN MECHANICAL ENGINEERING |
BUNDELKHAND UNIVERSITY JHANSI(U.P)
Interests
Singing, Fitness & Yoga, Musical Instrument (harmonium, piano)
Achievements
GATE 2020 Qualified with
GATE Score : 567/1000