Summary
Overview
Work History
Education
Skills
Certification
Projects
Timeline
Generic
NITESH TIWARI

NITESH TIWARI

Faridabad

Summary

Experienced professional with a strong background in technology-related roles. Proficient in software development, system administration, and technical support. Skilled in problem-solving and optimizing performance. Capable of managing projects and collaborating effectively with teams. Committed to continuous learning and staying current with industry trends to contribute to organizational success.

Overview

8
8
years of professional experience
1
1
Certification

Work History

Data Analyst

Accenture Solution Pvt Ltd
Gurugram
07.2020 - Current
  • Analyzed large datasets to identify trends, patterns and correlations for business insights.
  • Built visualizations that enabled users to quickly interpret results from complex analyses.
  • Leveraged SQL queries to extract, transform and load data into databases.
  • Implemented best practices while developing ETL packages like error handling, logging.
  • Provided technical support to users of analytical tools such as Excel, Tableau, Power BI, SAS.
  • Developed machine learning models and algorithms for predictive analytics.
  • Researched state-of-the-art architectures and algorithms used in neural networks and convolutional networks.
  • Analyzed real world datasets from multiple sources, structured them appropriately, and fed them into ML and DL models.
  • Cleaned up raw datasets by identifying outliers, missing values and other discrepancies.
  • Conducted statistical modeling on large datasets to identify patterns and trends in the data.
  • Built machine learning models using Scikit-Learn library for predictive analytics purposes.
  • Developed Python scripts to automate data extraction from various sources, such as databases and web APIs.
  • Deployed deep learning architectures such as CNNs, RNNs and LSTMs in complex NLP tasks.

Operations Executive

Accenture Solution Pvt Ltd
Gurugram
09.2016 - 07.2020
  • Handling end-to-end finance and accounts reporting
  • Operation/Business Excellence: Good knowledge in operation/business excellence and ground-level preparation of documents
  • Setting up calls to discuss operations performance on SLAs and KPIs
  • · Preparing periodic end SLA Reports for clients, month-end closing balance sheet/bank reconciliation statement/net & gross revenue reconciliation/LD/provision for unbilled
  • Processing of vendor and intercompany invoices to regularize payments
  • Know the invoicing & Revenue reconciliation.

Education

MBA - Accounting And Finance

Annamalai University
TamilNadu
05-2022

Bachelor of Science - Engineering Technology (B.E.)

Annamalai University
Tamilnadu
06-2015

Skills

  • Data Modeling
  • Report Writing
  • Simulation Modeling
  • Process Mapping
  • Machine Learning
  • Deep learning
  • Python
  • Data Visualization
  • Data Mining
  • Power BI
  • Tableau
  • SQL reporting
  • Dashboard creation
  • ETL in Python (Pandas, NumPy, Matplotlib)

Certification

  • Certification in Data Science

Projects

Pizza Sales Report Analysis with Power BI

Objective: Analyze sales data from a pizza store to uncover trends and insights.

  • Key Activities: Data collection, cleaning, organization,analysis, and visualization.
  • Tools: Power BI
  • Outcome: Interactive reports showing peak sales times, popular products, and customer preferences.

Sample Superstore Dataset Analysis with Power BI

Objective: Gain insights into sales performance, customer behavior, and profitability.

  • Key Activities: Data cleaning, organization, analysis, and visualization.
  • Tools: Power BI, DAX, Power Query
  • Outcome: Dashboards showing sales by region, product category performance, and profit analysis.

EDA Project for Data Cleaning

Objective: Perform exploratory data analysis to clean and preprocess a dataset.

  • Key Activities: Data collection, cleaning, organization, and quality assurance.
  • Tools: Python (Pandas, NumPy, Matplotlib)
  • Outcome: Cleaned dataset ready for further analysis or modeling.

Credit Score Prediction in Machine Learning

Objective: Predict credit scores using machine learning.

  • Key Activities: Data collection, cleaning, feature engineering and model building.
  • Tools: Python (scikit-learn), decision trees, random forest
  • Outcome: Predictive model evaluated with metrics like accuracy and precision.

Decision Tree Regression Project in Machine Learning

Objective: Build a decision tree regression model to predict a continuous variable.

  • Key Activities: Data cleaning, feature engineering, model building, and evaluation.
  • Tools: Python (scikit-learn), decision trees
  • Outcome: Regression model evaluated using Mean Squared Error (MSE) and R-squared.

Timeline

Data Analyst

Accenture Solution Pvt Ltd
07.2020 - Current

Operations Executive

Accenture Solution Pvt Ltd
09.2016 - 07.2020

MBA - Accounting And Finance

Annamalai University

Bachelor of Science - Engineering Technology (B.E.)

Annamalai University
NITESH TIWARI