
Skills &
Expertise
Deep Learning
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ANN
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CNN
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RNN
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LSTM
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GRU
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Backpropagation
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Gradient Descent Optimization
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Activation Function -ReLU, Sigmoid, Tanh, Softmax
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Loss Functions- Cross-Entropy, MSE, MAE, Hinge Loss
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Weight Initialization & Regularization- (Dropout, Batch Normalization)

Python
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Scikit-learn
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Statsmodels
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TensorFlow
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PyTorch
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NLTK
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Gensim
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Plotly
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PySparkS
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Matplotlib
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Seaborn
Database
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SQL
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MongoDB
Gen AI
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LangChain
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LlamaIndex
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RAG
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Hugging Face Transformers
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Vector Databases
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Stable Diffusion
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DALL·E 3
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AI Agent
Web Scraping (Crawling)
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Selenium
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Beautiful soup
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Requests
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Scrapy
Data Cleaning & Wrangling
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Pandas
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Numpy
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Regrex
Machine Learning Algorithm
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Linear Regression
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SGD Regressor
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Ridge(L2)
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Lasso(L1)
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Logistic Regression
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Decision Tree
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Bagging
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Random Forest
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AdaBoost
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Gradient Boost
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XG Boost
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SVM
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KNN
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Naïve Bayes
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K-mean clustering
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Hierarchical Clustering
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PCA
Version Control
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Git
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JIRA
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Bitbucket
NLP
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Text Preprocessing
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Word Embeddings
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BERT, GPT, T5, LLaMA
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RNN,LSTM
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Seq-2-Seq Models
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NER, Q&A
Statistics
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Descriptive statistics
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Central Tendency
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Dispersion of data
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Distribution of dataProbability distributions
Statistical distribution
2.Inferential statistics
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Hypothesis testing
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T-test
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Z-test
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Chi-square test
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Anova test
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P - value
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Significance Value
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A/B Testing
Power BI
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DAX
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Data Modelling
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Power Query(M Language)
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Visualization
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Data Connectivity
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Data Cleaning and Shaping
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Reporting and Dashboards
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Power BI Service
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Security
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Filters

LLMs
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OpenAI GPT
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Mistral AI
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Meta LLaMA
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Hugging Face Transformers
Cloud
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EC2
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Lambda
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Amazon Sage maker

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)
Exploring the knowledge of world beyond the material world (Spritual Science) through the material knowledge
Achievements
GATE 2020 Qualified with
GATE Score : 567/1000

