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Manoj Injeti

Manoj Injeti

Trainee Data Engineer

Mizoram, India
80
Profile Score

About

Driven Computer Science Engineering student with a passion for leveraging cutting-edge technologies to solve complex problems. Equipped with hands-on training in CDS, machine learning with Python, and front-end development, I am eager to apply my skills and knowledge to contribute to innovative projects in the field. Seeking opportunities to further develop expertise, collaborate with talented teams, and make meaningful contributions to the advancement of technology.

Skills & Expertise (33)

Python Intermediate
8.0/10
1
Years Exp
SQL Intermediate
7.3/10
1
Years Exp
AWS Beginner
7.0/10
1
Years Exp
Tableau Intermediate
6.9/10
1
Years Exp
ETL Intermediate
6.8/10
1
Years Exp
OOPs Concepts Web Development Java Penetration Testing Ethical Hacking Machine Learning Agile Redis Ruby JavaScript bootstrap CSS HTML Competitive Programming Microsoft Excel Data Structures and Algorithms C BigQuery Anaconda Visual Studio Google Colab Jupyter Notebook MySql NumPy Pandas Seaborn Matplotlib Power BI

Work Experience

Trainee Data Engineer

Ruby Strategic

Sep 2025 - Jan 2026

Developed Ruby-based ETL pipelines for the REX project, ingesting and transforming daily records from APIs and databases into scalable data warehouses. Optimized SQL queries and Ruby scripts for performance, reducing data processing latency by 25-30 percent while handling high-volume workloads on AWS infrastructure. Automated data quality validation and extraction workflows using Redis caching, achieving 98-99 percent accuracy for real-time analytics and business reporting. Collaborated in Agile sprints with senior engineers and stakeholders to build data models, enforce governance, and troubleshoot production issues in REX pipelines. Implemented security protocols and documentation for REX features, supporting cross-functional teams in delivering reliable insights from centralized data platforms.

Ethical Hacking and Penetration Testing Trainee

C-DAC

May 2024 - Jun 2024

Conducted comprehensive vulnerability assessments and penetration tests on various systems and applications. Utilized tools such as Nmap, Metasploit, Burp Suite, and Wireshark to identify and exploit security weaknesses. Developed and executed detailed penetration testing plans, including reconnaissance, scanning, exploitation, and post-exploitation phases. Collaborated with senior security analysts to analyze findings and provide actionable recommendations for remediation.

Machine Learning Trainee

acmegrade

May 2022 - Jun 2022

Acquired proficiency in using data structures and essential Python libraries for machine learning. Learned data processing techniques and mastered the construction of models using both supervised and unsupervised learning techniques. Additionally, gained expertise in dimensionality reduction using PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis).

Java FullStack Web-Development Trainee

IT Desk

Mar 2024 - Jul 2024

Completed comprehensive training in Java fullstack web development, covering frontend and backend technologies. Proficient in HTML, CSS, and JavaScript for creating responsive and interactive web pages. Gained hands-on experience in Java for building robust backend systems. Worked with MySQL for designing, querying, and managing relational databases.

Data Analyst Intern

Deloitte

Jun 2025 - Jun 2025

Analyzed IoT telemetry data from Daikibo using Tableau to uncover patterns in factory machine performance. Created calculated fields to measure system health and identify potential downtime across manufacturing units. Developed interactive dashboards including 'Down Time per Factory' and 'Down Time per Device Type' for performance monitoring. Implemented dashboard filtering to allow dynamic drilldowns from factory-level to device-level downtime analysis. Identified factories with the highest downtime and presented visual insights to support operational improvements.

Data Analyst Intern

TATA Group

Jul 2025 - Jul 2025

Performed end-to-end exploratory data analysis (EDA) and built predictive models to forecast customer delinquency. Used Python (Pandas, Scikit-learn) and SQL to clean data, identify missing values, and engineer key risk indicators. Evaluated model performance using metrics such as Accuracy, F1 Score, and AUC; conducted fairness checks across demographic subgroups. Generated SMART recommendations and business insights to reduce delinquency based on model outputs and high-risk segments.

Education

Bachelor Of Technology in Computer Science and Engineering - National Institute Of Technology, Mizoram

- 2025 · Afghanistan

XII - Narayana Junior College

- 2021 · Afghanistan

X - Montridge School

- 2019 · Afghanistan

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 80/100

Profile Overview

Member sinceFeb 2026

Skills (33)

Python SQL AWS Tableau ETL OOPs Concepts Web Development Java Penetration Testing Ethical Hacking +23 more