Sachin Benchihalli

@sachinbenchihalli

Data Scientist/AI Engineer

Bangalore, Karnataka

Rooba.Finance

Sachin is an AI Engineer and Data Scientist with a proven track record in designing and building data-intensive applications. He possesses profound experience tackling intricate architecture and scalability challenges across diverse industries. His expertise includes predictive modeling, data processing, and data mining algorithms, coupled with strong skills in Python and SQL. He is adept at developing and deploying adaptable solutions using deep reinforcement learning and AI advancements.

Experience

Artificial Intelligence Engineer

Rooba.Finance

•Jun 2023 - Present

Data Scientist

AI VARIANT

•Oct 2022 - Jun 2023

Education

Bachelors of Engineering

Electronics and Communication

Jan 2022•Grade: 6.02 CGPA

SSLC

Jan 2014•Grade: 86%

Licenses & Certifications

Masters Program in Data Science Certification

NASSCOM

• No expiration

Machine Learning with Python

IBM

• No expiration

DataScience & Aritificial Intelligence certification

Excelr

• No expiration

Natural Language Processing

Great Learning

• No expiration

Advanced SQL

Great Learning

• No expiration

Skills

Python (Pandas, Matplotlib, SciKit Learn, Seaborn, Numpy, keras, tensorflow, nlt

Machine Learning (LR, MLR, Forecasting techniques, DT, LogisticRegression, SVM,

Language Chain model, Rasa Techniques (Dailog Management Flow, AI conversation L

ChatGPT models and AI models

Natural Language Processing (predictive text, sentiment analysis, Text Summeriza

Deep Learning (Gradient Descent, ANN, CNN, RNN)

Recommendation Engine (Popularity Based Recommendation, content Based, Collabora

MySQL (DDL,DCL,DML,TCL,DQL,Constraints,querries,Subxpquerries)

Tableau (Pivot Table, Dashboard, calculation, Visulizations)

EXCEL (Pivot Tables, Trendline Charts, Frequency Distribution Chart, IF function

Supervised Machine Learning (Regression, Classification)

Cross Validation Techniques (train-test split, k-fold cross validation, leave-on

Regularization Techniques (Ridge, Lasso)

Ensemble Techniques (Random forest, Ada Boost, Bagging, Gradient Boosting)

Support Vector Machine, K-Nearest Neighbours, Evaluation Metrics, Feature Engine