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AI Engineer with less than a year in Machine Learning & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To obtain for challenging and responsible position in a professionally managed organization. Looking forward an opportunity where I can utilize my skills in contributing effectively to the success of the organization and also to improve my professional skills.
Dr K.V.Subba Reddy Institute of Technology, Kurnool
B.Tech · AI&ML
August 1, 2022 – June 30, 2026
Sri Masters Junior College, Anantapuramu
Intermediate · MPC
June 1, 2020 – May 31, 2022
Priyadarshini VidyaMandir School, Dharmavaram
X-SSC
June 1, 2019 – May 31, 2020
DEDUCE TECHNOLOGIES BANGALORE
Junior Analyst role
April 1, 2026 – Present
Bengaluru, Karnataka, India
Data Science Internship
June 22, 2026 – Present
It can developed the building predictive models, performing statistical analysis and visualizing data using various tools and programming languages. Project: Analyzing Amazon Sales, Crop Production Analysis Of India, FIFA World Cup Analysis Analyzed Amazon Sales data to identify trends, customer preferences. Amazon Sasles analyzing the Total Cost, Total Revenue, Total Profit for different visualizations(Histogram, Distplot, Countplot) and measure of the central tendency (Mean, Median, Mode). Crop Production data across various states in india to identifty patterns, assess factors affecting yield. Key contributes are Data aggregation, EDA. Analysis of FIFA world cup data to uncover the trends, player performance and team success factors over different tournaments. It is used various visualization techniques(Scatterplot, Histogram, Boxplot, Countplot) and Central tendency (Mean, Median, Mode). Technologies are used Python, Pandas, Numpy, Matplotlib, scikit-Learn.
Machine Learning With Python
June 22, 2026 – Present
Developed the skills by using ML with use of python to analyze data, creating visualizations and problem solving using powerful ML algorithms. Project: Iris Flower Classification ML models to classify iris flowers into 3 species-setosa, versicolor, viriginica based on sepal and petal measurements. This project focused on various classification algorithms and evaluating their performance. It has main role for this project is ML. There involved key contributes i.e. data processing(cleaned & prepared iris data), Feature Engineering(EDA). Another characteristics are Model Development (Used KNN, SVM), Model Evaluation(accuracy, Precision, Recall, F1-Score), Visualization(Using Matplotlib, Seaborn). Technologies used Python, pandas, Scikit-Learn, Matplotlib, Numpy, Seaborn. Successfully classified iris species with high accuracy, understanding of classification techniques and ML work flows.
AWS Cloud Virtual Internship
June 22, 2026 – Present
Developed the applications using AWS services, automatic cloud infrastructure and cloud technologies.
Cultural Fit Analysis
The candidate's academic background in AI&ML and participation in data science and machine learning projects align well with an AI Engineer role. The diversity of projects (Iris Classification, Amazon Sales, Crop Production, FIFA World Cup) shows a breadth of interest in applying ML/data science to different domains. However, the experience level is entry-level, and the current 'Junior Analyst' role description is vague, limiting a deeper assessment of cultural fit for a senior AI Engineer position.
Soft Skills & Operational Fit
The candidate's resume indicates an interest in a challenging and responsible position, suggesting a desire for growth. Project descriptions highlight contributions to data processing, feature engineering, and model evaluation, which are positive indicators for operational fit in a data-driven role. However, the lack of completed psychometric or English tests makes it difficult to assess specific soft skills like logical reasoning, work attitude, stress handling, or team collaboration.