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Data Analyst with less than a year in Python, SQL & ETL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data-focused B.Tech graduate (CSE, CGPA 8.4) with 6 months of hands-on experience building ETL pipelines, cleaning multi-source datasets, and delivering actionable dashboards using Python and SQL. Built a live flood prediction system using 4 Random Forest classifiers on real sensor data. Designed 5-table relational SQLite databases and executed 40+ queries covering JOIN, GROUP BY, HAVING, CASE WHEN, and NULL handling via Python. Seeking a Data Analyst or Data Engineer role to apply Python, SQL, Pandas, and scikit-learn to drive business decisions.
Siddhartha Institute of Science and Technology, Puttur
B.Tech · Computer Science & Engineering (IoT)
August 1, 2022 – June 30, 2026
Rao's Junior College, Nandyal
Intermediate · MPC
June 1, 2020 – May 31, 2022
Zilla Parishad High School, Chagalamarri
SSC
June 1, 2018 – May 31, 2019
SKILLRAACE (EdTech Startup)
Data Analytics Intern
February 1, 2026 – May 31, 2026
India
Prog Master
Python Programming Intern
January 1, 2024 – April 30, 2024
India
Titanic Dataset - Exploratory Data Analysis
June 23, 2026 – Present
Performed EDA on 891 passenger records - handled missing values, analysed distributions across 12 columns, and extracted survival patterns using Pandas and NumPy. Discovered female survival rate 74% vs 19% for males and 1st class surviving at 2.6x the rate of 3rd class - visualised with Matplotlib and Seaborn charts. Identified 20-35 age group as highest casualty segment; children under 10 showed above-average survival rates, validated through age distribution plots.
View ProjectSQL Relational DB Practice - E-Commerce & Joins
June 23, 2026 – Present
Designed a 5-table relational SQLite schema (customers, products, orders, order_items, reviews) with foreign key constraints; populated with realistic e-commerce data and verified row counts across all tables. Executed 40+ SQL queries - JOIN (INNER, LEFT), GROUP BY, HAVING, WHERE, ORDER BY, DISTINCT, CASE WHEN, NULL handling, and 3-way JOINs with table aliases - across Titanic, Iris, and custom datasets. Loaded query results into Pandas DataFrames via pd.read_sql_query() and exported to Excel, replicating a real-world data analyst workflow.
View ProjectAI Learning Lab - Student Performance Analysis
January 1, 2026 – April 30, 2026
Cleaned a 1000+ row student dataset removed duplicates, handled null values using mean/median imputation, and validated score ranges (0-100) across 10+ columns. Engineered total_score and performance_level features using NumPy conditions, categorising students into Excellent / Good / Average / Bad tiers for targeted academic intervention. Built Seaborn bar charts to compare average scores across topics and batches, surfacing actionable insights on student performance patterns.
View ProjectAI-Driven LoRaWAN Flood Prediction System
January 1, 2026 – April 30, 2026
Engineered a real-time multi-sensor data pipeline ingesting live readings from 5 sensor types (rain, ultrasonic, BMP180, DHT11, flow) via Arduino UNO, transmitted to Python over serial communication. Trained 4 independent Random Forest classifiers (scikit-learn) on labelled sensor datasets — one per channel — achieving sub-2-minute flood warning and reducing emergency response time by 60%. Integrated GSM + GPS to auto-dispatch location-tagged alerts with a live 5-second prediction loop — end-to-end ML pipeline from raw sensor ingestion to actionable stakeholder output.
View ProjectIntroduction to Industry 4.0 & Industrial IoT
NPTEL, IIT Kharagpur
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background in Computer Science & Engineering (IoT) combined with internships in Data Analytics and Python Programming shows a clear interest and alignment with data-centric roles. The diversity of academic projects (flood prediction, student performance, Titanic EDA, e-commerce SQL) indicates a broad curiosity and willingness to apply skills across different domains. The NPTEL certification and workshop participation suggest a proactive learning attitude. However, the experience is primarily academic and internship-based, so the fit within a fast-paced, senior-level corporate culture would need further validation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from data ingestion to stakeholder output. Participation in a college cricket team suggests teamwork and performance under pressure. The internship at an EdTech startup implies an understanding of business context and reporting needs. However, direct evidence of advanced problem-solving, critical thinking, or leadership in a professional setting is limited due to the academic and intern nature of experience.