Abhishek Kushwah

Recent Data Science graduate with a comprehensive background in statistical analysis, machine learning, and NLP. Skilled in Python, R, SQL, and various data visualization tools. Experience includes developing predictive models, performing sentiment analysis, and deriving insights from large datasets. Seeking to apply analytical skills and technical knowledge in a dynamic entry-level data scientist role to support data-driven decision-making.

Project: Stock Market Analysis using PySpark

• Objective:

     Conducted a comprehensive stock market analysis project using PySpark with a focus on historical stock market data.

• Key Achievements:
• Calculated average daily returns for each stock.
• Identified top-performing stocks based on highest average daily returns
• Analyzed overall market trends by calculating average daily returns across all stocks.
• Determined days with the highest trading volumes.
• Performed moving average analysis to identify trends in stock prices.
• Technical Skills:
• Successfully utilized PySpark DataFrames to manage and process large datasets.
• Demonstrated proficiency in data manipulation, statistical analysis, and financial data interpretation.
  

Natural Language Processing with spacy 

Project Overview:   Developed and implemented NLP tasks using spacy to analyze and extract insights from text data.

Key Responsibilities:

• Processed text data (tokenization, lemmatization, part-of-speech tagging).
• Extracted named entities (NER) like names, dates, and organizations.
• Visualized syntactic dependencies using displacy.
• Analyzed text similarity between documents.

Skills and Tools:

• Python, spacy
• Text processing, NER, dependency parsing, text similarity analysis

Achievements:

• Enhanced text analysis efficiency and accuracy.
• Successfully processed large text datasets with clear visualizations.