Srinivas Boppa, Data Entry Operator

Srinivas Boppa

Data Entry Operator

black knight solutions pvt ltd

Location
India - Hyderabad
Education
Bachelor's degree, Bsc Computer Science
Experience
2 years, 6 Months

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Work Experience

Total years of experience :2 years, 6 Months

Data Entry Operator at black knight solutions pvt ltd
  • India
  • November 2019 to April 2022

Date entry operator for US Process Project

Education

Bachelor's degree, Bsc Computer Science
  • at University Of Mumbai
  • October 2017

Projects • Project1: Google Colab link • https://colab.research.google.com/drive/1wl8WjqGTzIhvD0vww3c875h2RkHH_mPH • Project Title: Diwali Sales Data Analysis • Overview: The Diwali Sales Data Analysis project focuses on analyzing sales data related to the Diwali festival over a specific period. The goal is to extract meaningful insights from the dataset, understand consumer behavior, and identify trends that can be valuable for business decisions. The analysis will involve using various data analysis and visualization tools in Python, such as Pandas, NumPy, Matplotlib, Seaborn, etc. Technical Skills: • Python programming • Data analysis and visualization tools (Pandas, NumPy, Matplotlib, Seaborn) • Data cleaning and preprocessing techniques • Exploratory Data Analysis (EDA) • Statistical analysis for identifying trends and patterns • Project Details: • Data Collection: o Acquire the Diwali sales dataset from a reliable source, such as a business database or e-commerce platform records. • Data Cleaning: o Handle missing values, if any, using appropriate techniques. o Remove duplicate records to ensure data accuracy. o Convert data types as needed. o Perform any necessary data cleaning steps to ensure a high-quality dataset. • Exploratory Data Analysis (EDA): o Utilize Matplotlib and Seaborn for visualizations. o Explore the distribution of sales over time, considering daily, weekly, or monthly patterns. o Identify the top-selling products or categories during Diwali. o Analyze customer demographics, if available. o Visualize any significant trends or anomalies in sales data. • Insights: o Uncover key insights regarding consumer behavior during the Diwali season. o Identify the most successful marketing strategies or promotions. o Understand the impact of external factors (e.g., economic conditions, promotions) on sales. • Outcomes: o Provide actionable recommendations for improving future Diwali sales. o Suggest marketing strategies based on the analysis. o Identify areas for potential growth or improvement in the sales process. • For instance, you might find that certain products experience a surge in demand during Diwali, and the analysis could guide businesses in optimizing their inventory, marketing campaigns, and overall strategy for this festive season. • Feel free to share more details or specific questions related to your Diwali sales analysis project for further assistance!

Specialties & Skills

Technical Reports
Regression
Database Management
Statistical Modeling
Mathematical Analysis
Data Visualization
Probablity And Statistics
machine Learning
Tableau

Languages

English
Intermediate

Training and Certifications

Java (Training)
Training Institute:
Disha Institute
Date Attended:
April 2016
Duration:
2 hours

Hobbies

  • Volleyball
    Second runner-up in school and college