Arnab Chakraborty — Data Engineer
Key Skills - Python (Numpy , Pandas, Scikit-learn, XGBoost, Tensorflow, Keras, Spacy ,Pytorch ,Rasa, Flask), Pyspark, R language, SQL, Mongo DB, HIVE, Advanced Excel, Tableau, Power BI, Splunk, Databricks , AWS Sagemaker, Azure Datafactory, JENKINS, Docker, Github, Javascript, HTML and CSS. Data Science Skills- Machine Learning , Supervised, Unsupervised, Predictive Modelling, Statistics, A/B Testing, Hypothesis Testing, Exploratory Data Analysis, Data cleansing, Data Visualization, Model Deployment, Neural Networks, Deep Learning, Text Mining, Natural Language Processing(NLP) Algorithms - Linear Regression, Regression Analysis, Classification, Logistic Regression, Decision Tree, Random Forest, Support Vector Machines(SVM), Naive Bayes, Xgboost, Principal Component Analysis(PCA), all variants of Convolutional Neural Network(CNN), RCNN Family, YOLO series, RNN, LSTM, Auto Encoder Decoder Transformer based model and Generative AI Models.
Stackforce AI infers this person is a Data Science and Engineering expert in the Technology sector.
Location: Bengaluru, Karnataka, India
Experience: 10 yrs 2 mos
Skills
- Data Engineering
- Machine Learning
- Data Science
Career Highlights
- Expert in Machine Learning and Data Engineering.
- Proven track record in AI software development.
- Strong experience in predictive modeling and data analytics.
Work Experience
Intel Corporation
Data Engineer (Data Scientist) (2 yrs 8 mos)
AI Software Development Engineer (1 yr 2 mos)
EPAM Systems
Senior Data Analyst (1 yr 1 mo)
UST Global
Associate III - Data Analysis (2 yrs 2 mos)
Myntra Jabong
Data Analyst (4 mos)
Cerner Corporation
System Engineer(Data analyst) (1 yr 4 mos)
IBM India Private Limited
Technical Specialist (1 yr 5 mos)
Education
Bachelor of Technology - BTech at West Bengal University of Technology, Kolkata