Business Analyst

4 weeks ago

Gurugram, India HCDS Technologies Full time

Data Science, Data Engineering, and Data Analytics Internship

Duration: 6 months (self-funded, self-paced)


Project 1: People Analytics

Dataset: 10,000 Applicant Data from TCS iON ATS

Objective: Analyze HR data to identify trends and insights.


Tasks:

  1. Data Cleaning and Preparation: Clean and preprocess the data using Excel or Python.
  2. Exploratory Data Analysis (EDA): Conduct EDA to understand the data distribution, identify outliers, and uncover patterns.
  3. Descriptive Analytics: Calculate key HR metrics (e.g., turnover rate, time to hire, employee satisfaction).
  4. Predictive Analytics: Build models to predict employee attrition, performance, and other outcomes.
  5. Dashboard Creation: Develop interactive dashboards using Power BI to visualize HR insights.


Tools: Excel, Python (Pandas, NumPy, Matplotlib), Power BI


Project 2: Market Analytics

Dataset: 50,000 Struggling Firms and Companies Data

Objective: Analyze the target market and identify trends.


Tasks:

  1. Data Collection: Gather data from various sources (e.g., industry reports, databases).
  2. Market Segmentation: Identify target market segments based on demographics and psychographics.
  3. Competitive Analysis: Analyze competitor strategies and performance.
  4. Trend Analysis: Identify emerging trends and opportunities in the market.
  5. Market Segmentation: Create market segmentation models using clustering techniques.


Tools: Excel, Python (Pandas, NumPy, Scikit-learn), Data visualization tools


Project 3: Product Analytics

Dataset: Enterprise Digital Transformation Products and Services Data

Objective: Analyze product performance metrics.


Tasks:

  1. Data Collection: Collect data from website analytics, user feedback, and sales data.
  2. Key Metric Identification: Identify key product metrics (e.g., user engagement, customer satisfaction).
  3. Data Analysis: Analyze data using Excel, Python, and statistical methods.
  4. Dashboard Creation: Develop dashboards to visualize product performance.
  5. Recommendations: Provide recommendations based on findings.


Tools: Excel, Python (Pandas, NumPy, Matplotlib), Power BI, Web analytics tools (e.g., Google Analytics)


Project 4: Engineering Problem Solving

Objective: Apply engineering principles to solve business problems.


Tasks:

  1. Problem Identification: Identify business problems that require engineering solutions.
  2. Problem Decomposition: Break down problems into smaller, manageable steps.
  3. Solution Development: Develop potential solutions using engineering principles.
  4. Solution Testing: Test and validate solutions using data and simulations.
  5. Implementation: Implement the chosen solution.


Tools: Excel, Python, Engineering simulation tools (if applicable)


Project 5: Consulting

Objective: Practice consulting skills and provide advice on digital transformation.


Tasks:

  1. Client Understanding: Understand the client's business, challenges, and goals.
  2. Industry Analysis: Research industry trends and best practices.
  3. Digital Transformation Assessment: Assess the client's current digital maturity and identify opportunities.
  4. Recommendation Development: Develop recommendations for digital transformation initiatives.
  5. Presentation: Present findings and recommendations to the client.


Tools: Presentation software (e.g., PowerPoint), Research tools (e.g., Google Scholar)


Additional Information:

  • Budget: INR 90,000 for technical licenses and project fees.
  • Partnerships: Cyberthrone and Bravozest Technopreneur Community will provide onboarding and joining assistance.
  • Sponsorship: HCDS Technologies will provide 25-40% sponsorship based on TCSNQT score and GD-Tech performance.
  • Self-Funded and Self-Paced: This internship is self-funded and allows for flexible learning.


By completing these projects, you will gain valuable skills in data science, data engineering, data analytics, and consulting, which can open doors to exciting career opportunities in the field of digital transformation.

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