Sai Vikas Malladi

Database Administrator and Master of Data Science graduate with experience spanning South Australian Government information management, data cleansing, records governance, university IT support and operational leadership. Skilled in reviewing complex records for accuracy and completeness, resolving database and CRM workflow issues, and communicating with stakeholders in compliance-focused environments. Complemented by practical analytical projects using Python, SQL, Excel, Power BI and Tableau, including forecasting, NLP and data visualisation.

SKILLS

Data Management

• Data cleansing, manual review, validation, correction and standardisation
• Data quality assurance, integrity checks, duplicate identification, record completeness and audit-aware information governance
• Electronic records, CRM workflows, retention procedures and document management

Technical Proficiency

• Microsoft Excel (pivot tables, lookup functions, filtering and data validation)
• SQL, Python, R, pandas, NumPy, scikit-learn, Power BI, Tableau and Git
• ETL pipelines, exploratory analysis, forecasting, regression, classification, model evaluation and dashboard reporting (project experience)
• Application troubleshooting, support documentation and structured operational workflows

Stakeholder and Communication Skills

• Communication across technical, operational and administrative teams
• Service support, documentation, issue investigation and workflow coordination

EDUCATION & QUALIFICATIONS

WORK EXPERIENCE

• Maintain student-records database workflows, review record completeness and support reliable administration in a controlled government environment.
• Perform manual cleansing, validation and standardisation; investigate duplicate records and inconsistent fields to improve data integrity.
• Assist with application troubleshooting, controlled records access, archiving, retention and audit-aware documentation.
• Communicate with colleagues to clarify information issues and support accurate reporting inputs.

• Managed and verified sensitive data across CRM, licensing and compliance-related records, maintaining careful documentation of decisions and supporting evidence.
• Checked qualifications, licensing material and other sensitive supporting information for completeness and procedural accuracy.
• Worked with internal stakeholders to resolve discrepancies, maintain confidentiality and prepare reliable administrative reporting.

• Supported users of CRM and document-management applications, investigating reported hardware, software and access issues.
• Prepared and maintained standard operating procedures and technical support guidance to support consistent troubleshooting.
• Collaborated with colleagues and service users to clarify incidents, escalate issues and maintain reliable information workflows.

• Managed day-to-day operations in a busy quick-service restaurant, coordinating staffing, shift rosters and payroll-cycle information.
• Reviewed sales and customer-demand patterns to guide scheduling, stock planning and service decisions.
• Supported training, onboarding, food-safety practices and the resolution of day-to-day operational issues.

PROJECTS

Student Records Analysis

• Cleaned and reviewed approximately 10,000 student records in Excel, including duplicate checks, missing-field reviews and consistent categorisation.
• Prepared Power BI dashboards to illustrate completeness, data-quality indicators and reporting requirements.

Supermarket Sales Optimisation Analysis

• Cleaned approximately 100,000 transaction records using Python, pandas and Excel, reviewing duplicates, missing values and inconsistent product categories.
• Explored customer segmentation, seasonal demand, retail sales patterns and forecasting through analytical models.
• Communicated revenue and inventory insights through dashboard-style visualisations.

Weather Forecasting and Data Pipelines

• Designed data-preparation workflows for historical weather datasets, including cleaning, transformation and time-based features.
• Applied ARIMA and Random Forest methods to short-term forecasting and evaluated results with standard error measures such as RMSE and MAE.
• Presented forecasts and time-series patterns using Power BI.

Reddit Sentiment and Mental Health Language Analysis

• Processed Reddit text with NLP techniques including tokenisation, lemmatisation and TF-IDF feature extraction.
• Explored sentiment and mental-health-related language classification with methods including Logistic Regression and Naive Bayes.
• Summarised results with Tableau visualisations; this was independent research, not a clinical assessment system.

Electricity Consumption Forecasting using ANFIS

• Developed and evaluated an Adaptive Neuro-Fuzzy Inference System (ANFIS) approach to electricity-consumption forecasting using demand and weather-related inputs.
• Prepared and normalised modelling data and contributed to co-authored research published as a 2020 SSRN working paper.

PROFESSIONAL CERTIFICATIONS & DEVELOPMENT

• Applied Data Science I: Scientific Computing & Python (with honours) — WorldQuant University, June 2020
• Applied Data Science II: Machine Learning & Statistical Analysis (with honours) — WorldQuant University, September 2020
• Python for Data Science and AI; Databases and SQL for Data Science — Coursera, 2020
• CNSS Certified Network Security Specialist — International Cybersecurity Institute, May 2020
• Databricks Fundamentals training — Databricks, 2025 (accreditation expired February 2026)

RESEARCH & PUBLICATIONS

Prediction of Electricity Consumption using Adaptive Neuro-Fuzzy Inference System — co-authored SSRN research paper, 2020. Read publication.

VOLUNTEER & COMMUNITY INVOLVEMENT

• Uni Mentor · University of South Australia · Mar 2022 – Mar 2024
• Volunteer · Adelaide Fringe Festival · Jan 2024 – Apr 2024

REFERENCES

Available upon request.