Data Scientist

An expert in Data analysis Python, Data frames Python, Matplot Lib Python, Machine Learning Python, Automation, Scraping in Dexi.io and Python.

Data Enthusiast having an experience of Structured Query Language (Window Function), Python (numpy, pandas, matplotlib), Spyder, SQL Server, MS Excel, Tableau Data Analyst Skills, Statistics: Mean, Median, Mode, IQR.

A Data Scientist with 4 years of experience in the field of advanced analytics across sectors like Supply chain, Retail, Medical. Substantial experience developing end-to-end scalable machine learning and neural network systems in an industry environment. Well versed with Supervised and Unsupervised ML approaches, Natural language processing.

A Data Scientist who is proficient in data processing, statistical modelling, predictive modelling, machine learning as well as python & SQL, capable of developing, testing & deploying highly adaptive services to translate business problem into substantial deliverables.

A beginner level Data Analyst with sound knowledge in Python, SQL, R, Java, C/C++, Tableau, Microsoft SQL Server, Power
BI, Jupyter Notebook, Linux , Flask, Microsoft Office, ETL and Github.

A former assistant professor with hands on project experience in Python, R Lang, C, C++, Java, C#, HTML, Salesforce, SQL Server, Power BI, and Tableau.

Data Scientist experience creating machine learning models and retraining systems and transforming data science prototypes to
production-grade solutions.

Python (Numpy, Pandas,Scikit-Learn, Keras, Flask), SQL, Big Data, Git, Time-Series Forecasting, Probability/ Statistics, Power BI/ AWS/ Snowflake, Recommendation Engines, Analytics Engines, Customer Segmentation, Data Visualization, Pattern, Recognition, Jupyter, Plotly, Excel, PowerBI, GCP, AWS

Machine Learning, Clustering, Classification, ANN, Deep Learning, Word embeddings, Word2Vec, NLP, Document Semantic Matching, LDA, PCA, SVD | Programming Languages: Python, Java, C++, C | Database: SQL Server, Elastic Search, MongoDB, Hive | Frameworks and tools, GitHub, Jira, Confluence, ELK (Elasticsearch, Logstash, Kibana)